Case Study Johnson Johnson Marketing Essay

Case Study Johnson Johnson Marketing Essay Johnson Johnson Consumer Products Division is one of the leading fast moving consumer goods manufacturers in India. It is also among the most consistent and successful enterprises not just in the JJ world-wide group of companies, but also in India. Johnson Johnson Consumer Products division has been growing steadily over the last few years, and is one of the few companies in the Indian market to grow at extremely healthy levels. Johnson and johnson is the world most comprehensive and broadly based manufacturer of health care product and service for the consumer pharmaceutical and medical and diagnostics market. The Consumer Products Division owes its success to the strength of its brands, and the loyalty they enjoy from consumers, a strong sense of values driven from the Credo, and an environment, which sets the toughest standards of leadership. Overview Johnson and johnson founded in 1886 as a supplier of health care product in open market. The head quatered of John son and john son in new Brunswick ,Nj The company sell more than 175 product in 57 countries in the world . In 2003 the sale of Johnson and johnson were 4.19billion dollar. John son and john son have 110,600 employers over the world . More than US280billion pa philonthrapy. World leading heath care supplier PRODUCTS OF JOHNSON JOHNSON Aveeno ageless vitality Aveeno nourish + hair collection Aveeno nourish + style collection Aveeno hydrarting body wash Johnson natural baby lotion Johnson natural baby shampoo Johnson natural head to toe foaming body wash Listerine total care Neosprine lip health Neutrogena men sensitive skin Neutrogena sore pimple gel Neutrogena skin clearing mineral powder Neutrogena advanced sun block lotion Roc brilliance day rejuvenating Roc brilliance eye beautifier Skin crystal all natural sweetner COMPETETORS OF JOHNSON JOHNSON ABBOTT LABS LILLY ELI CO NOVARTIS A G PESTLE ANALYSIS POLITICAL LEGAL Johnson Johnson operates in both developed and developing countries worldwide where the political situation in these countries is stable and encourages more Investments. Also legislations in these countries favours free market economy with no government intervention. ECONOMICAL With the introduction of the European Union and single currency the whole European market has been transformed to a single market hence increasing the market for Johnson Johnson products. Also inflation and exchange rates in most of the countries has been stable thus not affecting the prices of products or any future Investments. SOCIOLOGICAL Due to recent developments people around the world have changed from using natural food products to the use of genetic modified food products or to special types of fo Unilever has tried to cope with all the changes that take place in the modern world. TECHNOLOGICAL The objective of Johnson Johnson is not only to maximize the wealth of its owners but also to anticipate the aspirations of its customers and to respond creatively and competitively with branded products and services that raise the quantity of life. Johnson Johnson put much emphasis on research and development, modern technologies and launching of modified products so as satisfy its stakeholders SWOT ANALYSIS: Johnson Johnson Strengths Worldwide sales have grown 14% indicating a strong position for the global group. The business model adapted by Johnson and Johnson fundamentally uses the adaptation of entrepreneurial values in order to retain an edge within the market place. Working with intensive scientific notions Johnson and Johnson utilise a varied expanse of problem solving techniques in order to challenge the standard practice and capitalise on growth through emerging markets which enables associated growth. The use of independent offices working as standalone units provides the opportunity to develop concepts with cultural considerations which can prove important when taking a product to global markets. Weaknesses There is increasing pressure within pharmaceutical markets to reduce prices in line with medical budgets and maintain patent expirations to ensure generic programmes are updated within critical path movements. Challenges have been faced within Johnson and Johnson where a reduction in the market demand for key products has been identified; some of these products were branded and have been replaced by generic programmes at the end of patent time lines. Internal weakness across the industry and not isolated to Johnson and Johnson would be the level of theft and counterfeiting of drugs managed through internal personnel. Opportunity Whilst the recent acquisition of Pfizer Consumer Healthcare will act as an opportunity in its own right to promote growth for the organisation through alternative routes there is the added value capitalised through the return on investment which will be realised 12 months before plan releasing funds back into the bottom line. Johnson and Johnson have highlighted new developments in pharma products with five undergoing regulatory review which provides the opportunity to grow the existing product portfolio. Development into new functions of medical devices and diagnostics will provide new markets to entry which will result in business growth. With the development of WTO rules to prevent the availability of cheap generic drugs there is the opportunity to reduce the level of lost profit due to generic introduction as patents run out. Whilst this will aid Johnson and Johnson where they own the brand where they are looking to capitalise on introducing generic drugs to market this ruling will become a hindrance. Threats Generally within the main pharmaceutical companies there is a high level of competition for the generics markets where patents finish and it is the first to entry where success will generally be determined. Technological developments with bio-tech concepts will potentially move the traditional pharmaceutical methods out of the market place in the long term although there is an economical argument that this form of development can be segregated to run alongside traditional methods and complement as opposed to replace. FINANCIAL ANALYSIS The assessment of the financial position of the firm constitutes an important aspect of the internal analysis which must be carried out to determine the strengths and weaknesses of the organisation .It is important to carry out a financial performance of the corporation Johnson Johnson. because the financial appraisal will indicate the extent to which the firm is meeting some of its key objectives and also help management to direct operations and make decisions in ways which will achieve or fulfil the overall corporation objectives. Two categories of financial performance measures are commonly used and these can be based on absolute values, which measure profitability and those based on relative form of return on investment or capital employed. Profitability Businesses come into being with the primary purpose of creating wealth for their owners. Profitability measures indicate how effectively the total firm is being managed and in many ways constitute the most important aspect. Profit is widely used as an absolute measure of profitability and provides a means by which a corporation can be compared with another in the same industry e.g. Novartis or the same company over different times of period. Net profit margin This ratio relates the net profit of the business to the sales generated for the sales period. Net profit represents the difference between sales, the cost of sales and the operating expenses used to generate that profit. Year of Operation 2002 2001 2000 1999 1998 Sales 48,270 51,514 47,582 40,977 40,437 Net Profit 2,129 1,838 1,105 2,771 2,944 Net Profit Margin in % 4.4 3.6 2.3 6.8 7.3 We can see the profit ratio was up in early years but due to intensive competition and new product innovations it started falling. Gross Profit Year of Operation 2002 2001 2000 1999 1998 Sales 48,270 51,514 47,582 40,977 40,437 Gross Profit 5,041 5,174 3,181 4,303 4,410 Gross Profit Margin in % 10.4 10 7 10 11 The gross profit margin indicates that the gross profit is stable over the five years under consideration at 10% at the most is a favourable trend. Liquidity In analysing the liquidity position we want to know whether Johnson Johnson is able to meet its short-term obligations as and when they fall due. Year of Operation 2002 2001 2000 1999 1998 Current Assets 16,209 17,678 20,086 25,407 21,601 Current Liabilities 20,602 23,212 28,364 12,134 17,970 Liquidity Ratio 1:1 1.1 1:1 2:1 2:1 From the given figures we can see that Johnson Johnson have a sound liquidity position of 1:1 meaning the corporation is able to meet its short-term obligations from its current assets without having to raise finance by borrowing, issuing shares or selling fixed assets which is a favourable trend. 2002 2001 2000 1999 1998 Price Earning Ratio 2:1% 2:1% 1:1% 3:1% 4:1% The price-earning ratio is generally good at 31 it shows that the corporation is held in high esteem in the market 2002 2001 2000 1999 1998 Dividend Cover 2441 1838 1320 2972 3088 The divided cover compares the amount of profit earned per ordinary share, which is 2441 in 2002, is good compared to the previous years. 2002 2001 2000 1999 1998 Efficiency 2 1.74 1.63 2.65 3.30 The company is being operated efficiently in order to generate sales. Finally Johnson Johnson is financially sound and a going concern that is able to take up any challenges. Vision Value and low prices as hallmark of development Mission Statement For best quality and best price. COMPETITOR PROFILE ANALYSIS The five forces analysis will aim to identify the key forces, which will affect the level of competition in food, home and personal care where Johnson Johnson operates. The five forces Framework Potential entrants Threat of Entrants (Low) Suppliers Bargaining Power (Low) Competitive Rivalry (High) Norvatis Nestle Kraft Food Danone Sainsbury Marks Spenser Buyers Bargaining Power (low) Threat of Substitutes (High) Substitutes Threat from new entrants (Low) Home and personal care requires high capital investment in order to enter market and Johnson Johnson have built up experience and distribution channels to compete effectively in the industry. Currently Johnson Johnson is operating in 100 countries and is able to tailor its products to the different markets and anticipate customers demand. Most of its products like Baby care products are market leaders. Threat of Substitutes (high) There are so many competitors in consumer goods industry. there is a great competition among these consumers. So there is a substation effect which is very high. Bargaining power of Suppliers (low) Johnson Johnson is a very big and strong business entity, which cannot be easily influenced or forced in its decisions by suppliers, as it is not dependent on one supplier. As stated in the case Johnson Johnson has no problem with supply of raw materials as is able to operate in 100 markets with a variety of products without run short of raw materials. Bargaining power of Buyers. (High) Customers especially in European market frequently keep on demanding more new products, better features and great variety at acceptable prices. This has forced Johnson Johnson to develop new products.there are so many competitors prevailing in the consumer goods industry. So the bargaining power of buyers is very high. Competition (High) Johnson Johnson main competitors are unilever PG etc. Due to this Johnson Johnson was under restructuring programme Competitors are producing the same products as Johnson Johnson, hence bring competition in the market. ANALYSIS OF THE MARKETING MIX OF JOHNSON JOHNSON Weldon was a master of marketing, which was then to the advantage of the monolith JJ. The following discussions will analyze the capability of JJ using the marketing mix to maximize the profits gained by the said company under the headship of Weldon.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   II.  Ã‚  Ã‚   Marketing Points A.  Ã‚   Product Based on the article of (2003) Johnson Johnson was a company who dwell in innovation and new products. This shows that the company has a commercial advantage against its competitors. Not only does it have a recognizable brand, it also offers products which the public identify with them. This is possible because they have identified themselves with the product. A good example of this would be their treatment of the drug, Procrit.    B.  Ã‚   Place Along with the famous products of the company, it also shows how effectively they make these accessible to the public. In the case of their product Band aid, they targeted hospitals by making it more scientific through the improvements made by their research and design department. The product was made liquid and thus accessible for hospitals as wound closing agents. Another product was also made accessible to the public. Their product, Nizoral, was formerly an antifungal treatment targeted for hospital use was transformed to commonplace merchandise, shampoo. This shows the tenacity of the company to offer the public their products and in the same time expand their market.   Ã‚  Ã‚  Ã‚   C.  Ã‚   Promotion The promotion of the products of JJ, the company takes on the persuasive craftsmanship of Weldon to the public. The article indicates that Weldon does impose rather challenging tasks to his executives. These tasks are expected to be successful at the first attempt that some of the executives even consider it impossible. Nevertheless, the pressure provided by Weldon has been considerably effective given the performance of JJ in his reign. The competitive compulsion that has enveloped the company through Weldon has helped improved consciousness and creates a positive image towards the products offered by the company. D.  Ã‚   Price Early on in the article, the discussions have presented that JJ have offered the public with low-cost and considerably affordable products in the market. This doesnt only make their product known to the majority of the public, but also the choice of many buyers. The good thing about JJs recognizable brand name is that the buying public tends to trust their products. In this manner, this part of the marketing mix tends to contribute largely to the rest of the determinants of product choice.   Ã‚   Johnson Johnson as one of the most influential companies in the commercial sector. One could learn largely on the situations of JJ. It shows that a firm leader could do wonders for the company. Weldon was cognizant of both internal and external elements that affect the overall environment of the company. In this manner, he was able to use these to his advantage. Knowing what needs to be done for product has greatly influenced how he became aware on how these are going to be carried out.    More important than the effective implementation of the marketing mix, the proper communication within the organization is required. Along with the strong leader, the need of a healthy interaction within the ranks presents not only an opportunity to develop but also, as seen in the case of JJ, to essentially make seemingly impossibly demanding tasks into measured ones. BCG Matrix The Boston Consultative Group BCG Matrix is a Portfolio strategic analysis tool. It evaluates the portfolio of strategic business unit or markets according to their performance and groups them as Stars, Cash Cows, Question Marks or Dogs. The matrix is a market share market growth matrix. Companies must develop new businesses but also must carefully prune, harvest or divest tired old businesses in order to release resources and reduce cost. In the case of Johnson Johnson, we are going to analyse the portfolio of the business based on BCG matrix, examine the relationship between market share and market growth of the different business units. BCG MATRIX FOR PRODUCTS Market Share growth High low HighStars Best foods Frozen Market Growth Question Marks Deodorants Anti- Prespirant Cash cows Knorr Flora Dogs Slim Fast STARS (High market share, high market growth) As we have seen in the question mark businesses, there are brands within the business units that are performing well and if the question marks are successful they become stars. In home and personal care, products for cleansing, deodorant and antiperspirant under the brands of Axe Lux Ponds, Rexona, CIF, comfort, Domesto, Omo, Skip and Snuggle have a good share of the growing market. However, Johnson Johnson may have to spend substantial funds for its stars to keep up with high market growth and fight off the competitors attacks as a leader in these core brands. CASH COWS (Low market share, high market growth) Johnson Johnson does not have to invest heavily on marketing or to finance capacity expansion, as the growth is low and market conditions more stable. As these business units are market leaders, they enjoy economies of scale and higher profit margin. Johnson Johnson should use these cash cow businesses to support the lagging ones that drive down the profit of the company. QUESTION MARKS (High market share, low market growth) Question Marks According to our matrix question marks are operating in a growing market without high market share. Johnson Johnson is categorized as question marks. Therefore it can be noticed that not the whole divisions are under performing, as a result Johnson Johnson needs to invest more in these business units to keep up with the fast growing market because they are already successful but need better performance. DOGS (Low market share, low market growth) . With a weak market share in low growth market, they may be considered as dogs. As consumers started questioning the effectiveness of products and turning to alternatives. Segmentation Market segmentation is the process of taking a heterogeneous market and breaking it into smaller homogenous groups where all members have similar needs and respond similarly to a set of marketing efforts.   Once the market has been segmented, the organization selects the segments to be served (known as target markets).   Targeting . Johnson Johnson target households for home care products, health care products, personal care products for the people who are hygiene concious. Prices are generally set for middle class people, who can easily afford it. Positioning Determine positioning. A market position is developed for the product so that the target will clearly know where the product stands in relation to the competition, as well as other products marketed by the organization. Johnson Johnson have positioned themselves as home and personal care producers. Product positioning is how a product is positioned in the mind of the consumer.   Positioning begins with finding a difference in the product that is worth establishing to the extent that it is important, distinctive, superior, communicable, pre-emptive, affordable, and profitable. Johnson Johnson have position their products-High Quality and good price Johnson Johnson products are positioned as good value products but are slowing threat faced by Johnson Johnson Differential advantage refers to any feature of a product or organization perceived by customers to be desirable and different from the competition. An organization uses its resources and capitalizes on them to obtain a differential advantage by offering unique products. CRITICAL SUCCESS FACTORS Critical Success Factors are factors upon which the success of the business is dependant. Johnson Johnson attend to these factors to ensure success. Ability to tailor products according to different market and anticipate customer demands Understanding in depth of the countries in which Johnson Johnson operates Policy of listening to customers. Producing different range of products to match the diversity of its consumers Increased advertising budget and interaction with advertising agencies . CORPORATE OBJECTIVES Yet one of Johnson Johnson s major and most important objective was anticipating the aspirations of consumers and customers and responding creatively and competitively with branded products and services which raise the quality of life In crease customisation to local national taste by establishing additional brand names. Regain Market Leadership with 5 years. Regain Stockholder confidence Internationalise Management Marketing Mission Statement To provide the best quality products and Service to the customer and be the market leaders in the retail industry. MARKETING OBJECTIVES Johnson Johnson, consumer goods manufacturer has these main marketing objectives: To create sustainable, profitable growth and value for shareholders and employees by improving profits by 10%. To improve performance of the lagging businesses To boost sales and margin through its path to growth strategy by 10% To increase market share and maintain leadership of its core brands by creating customer loyalty. To tailor products to different markets and anticipate consumer demand through research and development-innovation. OTHER MARKETING STRATEGIES GROWTH STRATEGIES Growth Vector Analysis Existing Product Improved product (new, changed) New Product Options Existing market Market Penetration Product variants or product differentiation Product line extension Market expansion Market segmentation Market-Product segmentation -New product development -Market development -Existing boundary New Market Market development Diversification Conglomerate diversification Alternatives The most suitable strategies of meeting the Marketing objectives stated above are: Market Penetration A market penetration strategy suggests that growth is possible by achieving a deeper penetration (sell more) of its present product within a present market.   An organization could sell more of its current product(s) to its current customers, attract competitors customers, or convince non-users to begin using the product, thereby increasing its existing market share. Another growth alternative is to try and identify new markets for its present products. Johnson Johnson should sell more of the existing Products in Asia, Europe and North America. Product Line Extension Through a product line extension strategy, an organization might create an augmented product in order to stimulate the current markets and create new ones. Unilever must quickly start pursuing this strategy as its current products are falling out of favour with the consumer and should pursue this further.   Market Development By employing a market development strategy, an organization might identify new markets for its product by determining potential user groups for its current products, seeking additional distribution channels in its present locations, or offering its product for sale in new geographic locations, either domestic or international.   Another alternative is to develop new products for an existing target market. Ford has the opportunity to develop a very profitable market in Africa and the pacific region in particular the former commonwealth countries that readily identify with anything British. . New Product Development New Product development in existing Boundaries. Entirely new products can be developed taking into consideration customer tastes and preferences. This will enhance competitive advantage and keep competition at bay. Johnson Johnson must use a combination of these strategies to achieve best result in market growth and be able to compete effectively in the industry. COMPETITIVE STRATEGIES Focused Differentiation This occurs when the company a range of clearly differentiated products which appeal to different segments of the market. This will be the most suitable strategy to pursue due to the companies reputation of quality, value and service. It will also be congruent with the core aspirations of the company. Cost Leadership- (problem solution) Although Johnson Johnson has not competed on cost in the market it must try to cut costs because it is currently under attack from its competitors on both quality and cost of products. Therefore it must be seen to be challenging the competition not only on the quality of the products but also on the cost. MARKETING MIX STRATEGIES Marketing mix strategies The marketing mix is the means used by the marketer to satisfy customers. Product policies- new product development brand development Branding family, corporate branding. Branding is part of the actual product and is a major issue in overall product strategy. Branding is used to give products unique identities and helps the marketer to differentiate their product from those of competitors use a tool. Branding Strategy Family branding: this involves using a brand image and name for a range of products. Corporate branding: this means that a company uses its own company name as a brand for its products. Individual branding: this means that each product is given a distinct name and image by a company. Johnson Johnson must use this strategy because the brand name is well established, launch costs of new products may be low and brand loyal customers are more likely to try the branded new products New Product Development An organisation that wishes to survive long term, must invest in new product development (NPD). Always, all products eventually reach the decline stage of the PLC. Without new products an organisations sales will eventually become non-existent and Customers will seek competitors products. Additionally, by introducing new and innovative products to the market place first, an organisation may generate customer loyalty and maintain its market share as the market grows. NPD is costly and can be a long process. If a new product fails, a company may make huge financial losses and the ensuring bad publicity can be detrimental. The NPD process helps to minimise the risk of failure. Johnson Johnson must heavily invest in this strategy of new product development. Promotion policies Promotion is more than just advertising. It includes almost any form of communication that a company has with its customers. Indeed, it includes communication with stakeholders, suppliers, intermediaries and the general public. The range of parties that a company promotes to is known as the target audience. Promotion strategies and the communities mix When a company is pursuing a pull strategy, it promotes its products to the final customers to encourage them to buy. They are encouraged to demand the product from intermediaries. Place policies Place is the term used in the marketing mix to mean distribution. Distribution involves all the activities necessary in getting a product to a customer. Distribution can be looked from two perspectives: channels of distribution and physical distribution. Channel of distribution refer to the organisations involved (distributors, wholesalers, retailer, agents). Physical distribution refers to the physical transportation, handling and storage of products necessary to make products available to customers.

Oppression among First Nation People: Canada

Oppression among First Nations peoples in Canada The detrimental enforcement of colonialism sparked an era of oppression that has altered, even destroyed years of cultural and spiritual traditions by creating a forced lifestyle that changed the face of First Nations peoples forever. Forced European culture resulted in the diminishing of Firsts Nations values and rights. A cycle of social, physical, and spiritual obliteration resulted from the dispossession of First Nations lands and the implementation of foreign methods of government.Poverty, poor health, and substance abuse are some of the long-term side effects that came about from this oppression. European settlers came overseas, unwelcome into First Nations territory with absolutely no respect for their traditions and ways of living. Over time children were taken away from their families and native homelands to attend residential schools; Native students were given new names and taught to speak English. Residential schools attemp ted to brainwash First Nations children to erase their native culture and traditions.First Nations peoples were defenseless under the power of the Europeans; their rights were ignored and their values were completely demoralized. First Nations peoples were forced down the path of violence and educational failure, which eventually led to poverty. These effects were a direct result of the disrespect and insensible attitude put forth towards First Nations peoples by the European settlers. The introduction of Residential schools to the First Nations peoples of Canada was a system that began in New France in 1620, and was known as â€Å"the experiment of education of Indian Children in residential establishments. (Timeline: Canada’s Residential School History) These schools had a system that was based upon the idea of â€Å"kill the Indian, save the man† (Capt. Charles Pratt, founder of the Carlyle Indian School. ) European authorities were trying to Europeanize the First Nation occupants of Canada by instilling in the minds of young First Nations children the beliefs and values of the European culture. The Clash of two different cultures brought upon destructive trauma amongst the First Nations peoples and their future.The government formed a rule that prohibited the First Nations people’s ability to develop their own culture through their rich traditions. Cultural genocide resulted from years of oppression, and social violence. According to Dr. Leslie Korn, â€Å"Community development that is not self determined precipitates intergenerational trauma in individuals and communities. When this occurs people suffer loss and grieve over ways of life. Families divide and rituals of celebration and healing lose meaning† (Dr. Leslie Korn: Community trauma and development).The development of a culture is jeopardized when change is implemented on a certain group by another group. This reflects the result of European influence on First Nations p eoples. By 1870, the government and missionaries shared the same objective of lowering First Nations children into the reaches of society. By 1920, First Nations children aging from 7-15 years were forced away from their families by priests, Indian agents and police officers as it was now compulsory to attend residential schools. As the years moved along, residential schools slowly faded away.It wasn’t until 1980, where sexual, and other forms of abuse were finally removed. In 1996, the last residential that was federally ran was closed. Most First Nations children, from birth, are surrounded by the attitude, and social obligation of being faithless. The short story Traplines, written by Eden Robinson, is about a young aboriginal boy named Will. Will is falling deeper and deeper into a dark lifestyle that seemingly has no hope. Surrounded buy substance abuse, alcoholism, physical and emotional abuse, Will is caught up in a trap that many aboriginal teenagers misguidedly find themselves falling into.Will is an adolescent teenager that seems to have a silent side of him that wants to change his life. Will doesn’t partake in alcohol or drug consumption, but seems to be desensitized to what is taking place at home and in the community. Will contemplates whether or not he should take the offer put forth by his English teacher, Mrs. Smythe, to move into her and her husband’s household and receive a priceless opportunity for a better start to his life journey. An opportunity that offers much safer and more rewarding lifestyle filled with love and morals.It seems Will doesn’t feel deserving of that deliverance from the violent, detrimental lifestyle he is surrounded by at home. The frequent abusive confrontations Will experiences at home are evident in the text, â€Å"Are you a sissy? I got a sissy for a son. Look. Like cutting up a chicken see? Pretend your skinning a chicken† (379). Will’s father is verbally abusive when Wil l shows the slightest discomfort towards skinning the marten they had trapped. Accompanied by abuse, alcoholism is also evident in the text.Wills explains the tendencies of his parents on the weekends, â€Å"They’ll probably find a party and go on a bender until Monday, when dad has to go back to work† (380). This shows that his parents who are supposed to guide him and raise him properly, would rather waste their weekends away by drinking and doing drugs. Will is forced to stay at his friends house when his parents are drinking in order to avoid the violence that follows alcohol, â€Å"I’m not going home until tomorrow, when mom and dad are sober† (388). In doing so, Will is exposed to watching his friend smoke crack.When confronted by his father about the offer presented by Mrs. Smythe, Will is immediately accused for telling her about the abuse occurring at home. Will’s father uses intimidation to overwhelm Will with fear towards sharing with ot hers what takes place at home. Instead of apologizing, and sensing that his son may not want to live at home anymore, Wills father shows anger towards Will. All of the conflicts involved in this short story are a direct result of hundreds of years of colonialism and oppression. The European system that was taking over First Nations peoples and their lands was that of patriarchy.A male dominated social system brought about massive sexual exploitation amongst First Nations women; prostitution is a graphic example of how deeply patriarchy has wounded the lives of this particular group of women. First Nations women, and men for that matter, did not have the power to overcome the forceful European invasion. Prostitution in First Nations women is obvious evidence of oppression and colonialism that is still very visible today. Ever since the first European contact, First Nations women have been sexually exploited.The first brothels in Canada were set up around military bases and trading po sts, European men demanded sexual accessibility to the defenseless First Nations women. In order to supply the business of prostitution, a low self esteem and demoralized group of women is required. Through the power of colonialism, the oppression involved allowed the First Nations women to fall into this lifestyle. Colonialism, childhood sexual abuse, childhood physical abuse and neglect, family addictions, husband violence, and alcoholism are all vital ssues that lead First Nations women into prostitution. Lorne Crozier’s â€Å"Dark Ages of the Sea† reflects First Nations peoples as a metaphor of being children that fall into wells, â€Å"there was a time when / children fell into wells† (6-7).This reflects First Nations peoples helplessly falling to the power of the European invasion. A race of people who had no education about the effects of what was happening to them, hopeless like a child falling into a well. When Europeans came overseas and found this new land, they were blind to the ways First Nations peoples lived their lives: nd a faith in things invisible, be it water never seen or something trembling in the air (12-15). The excitement of the European people when finding this new land blinded them towards the rights of First Nations peoples. The new waters travelled to arrive at this new land, was the â€Å"water never seen† (13-14). Regardless of what happened to the First Nations peoples and the land that is rightfully theirs. Sensing opportunity, the Europeans wanted to expand into this foreign land they have stumbled across, â€Å"something / trembling in the air† (14-15).Once realizing the unstoppable power of the Europeans, the First Nations spirits were severely damaged, â€Å"We are born to fall / and children fell† (16-17). This resembles the wounded spirits of the First Nations peoples, slipping into the realm of violence and abuse. The surviving members of the First Nations community passed along the stories of suffer and change that came about through the establishment of colonialism and oppression, â€Å"Some surviving / to tell the tale† (18-19).Like a new born calf whose mother passed at birth, blinded and wet, experiencing a new world outside its womb with no guidance; the First Nations peoples were abruptly introduced into a new world, blind towards the harsh reality in which the Europeans were about to instill upon them with no guidance, â€Å"Wet and blind with terror / like a calf† (22-23). Over the past 400 years, First Nations peoples have been struggling to improve their lives. Re-establishing old traditions and values that have been lost throughout years of oppression has been a very slow process.With the help of non-First Nation peoples in Canada, realizing the detrimental damage that has been caused, there are establishments and groups all across Canada joining the fight to replenish what has been torn apart. The teachings and rich traditions tha t the First Nations peoples have developed are being shared and taught at a rate that is increasing as time passes along.Works Cited â€Å"Timeline – Canada’s Residential School History. † virtualmuseum. ca. virtual museum, n. d. Tues. 16 Nov. 2010. â€Å"History of Indian Residential Schools. † afn. ca. afn, n. d. Tues. 16 Nov. 2010. Lynn, Jacqueline. Prostitution of First Nations Woman in Canada. † sisyphe. org. sisyphe, 17 May. 2005. Tues. 16 Nov. 2010. Dr. Korn, Leslie. â€Å"Community Trauma and Development. † centerfortraditionalmedicine.org  center for traditional medicine, Aug. 1997. Tues. 16 Nov. 2010.â€Å"Aboriginal Issues. † socialjustice.org  social justice, n. d. 16 Nov. 2010. Robinson, Eden. â€Å"Traplines. † The Wascana ANTHOLOGY OF SHORT FICTION. 1999. 378-395. Print. Crozier, Lorne. â€Å"Dark Ages of the Sea. † Cyr, Annette. â€Å"Long Term Effects of Residential School. † suite101. com. sui te101, 3 Mar. 2009. Tues. 16 Nov. 2010.

Statistics Coursework

1st Hypothesis – For my first hypothesis I will investigate the relationship between the number of TV hours watched per week by the pupils against their IQ. I am going to use the columns â€Å"IQ† and â€Å"Average number of hours TV watched per week† taken from the Mayfield high datasheet. I think that there will be a relationship between them and will attempt to reveal it. 2nd Hypothesis – For my second hypothesis I will investigate the relationship between â€Å"Average number of TV hours watched per week† and â€Å"weight (kg)†. I think that there will not be any major relationship between as they will not affect each other greatly. I will present my analysis and the results in graphs and tables and explain the results using the correlation of the graphs and arrangements of the figures. I will select a number of pupils to base my data on and will use random sampling to ascertain the correct number of male and female pupils needed to make the investigation fair. Stratified Sampling I do not want to use all of the data in the database for my analysis so I will need to take a sample of the number of people in the school. I would like to take about 10% of the overall figure. I will also need to use stratified sampling to make it an equal proportion of the number of males and females in the school to make it fair. The total number of pupils at the school is 813 so I will need to take 10% as my number, 81.3 is rounded down to 81. The overall ratio for boys and girls in the school is: 414:399 Now I will need to do my sampling Males = 414 multiplied by 81 = 41 813 Females = 399 multiplied by 81 = 40 813 Random Sampling Now I have the number of samples I will need to select the samples I will be taking. To do this I will use random sampling. I will take random samples until I have 81. I can do this on Excel using the following formula: = round(round()*120. Once I have gathered the samples I am ready to start analyzing my samples. Analysis Hypothesis 1 Males The first thing I need to do in my analysis is to analyze my graphs which are the source of the investigation. I have created scatter graphs to show the relationship if the two data sources for my first hypothesis. I have separated them into male and female graphs as there is a separation in the numbers. First male scatter graph: This first graph presented a bit of a problem. There was an anomalous result that affected the trend line and the scale of the graph. I decided to create a new graph that didn't include that 1 piece of data. This way it would help me to analyze the rest of the data. Second male scatter graph: This graph showed the data much clearer and I could then start analyzing it. There is no correlation between the 2 sets of data. This means that it is unlikely that there is a relationship between IQ and Average number of TV hours watched per week. In this it may be that my hypothesis is incorrect. There is only a very slight gradient on the trendline that leans towards a negative correlation, but the gradient is not steep enough to draw any conclusions about the relationship between the two sets of data. I will have to use the cumulative frequency graphs and boxplots to see if any conclusions can be made. Cumulative frequency graphs for IQ and Average number of TV hours watched per week: From these graphs I could create box plots and compare the two sets of data. Before that I analyzed the cumulative frequency graphs to draw initial conclusions. The majority of the IQs for males are between 90 – 105, this shows that the data is quite spread out as this section only covers a small area of the graph. For the TV hour's graph, again the data is spread among 1 main area; in this case it is between 5-25. There is almost a straight line near the top of the graph; this shows that there is likely to be some anomalous results and 0 pupils in between that result and the main bulk. Now I will create box plots so I can compare the two graphs together. Box plots for cumulative frequency graphs of IQ and average number of TV hours watched per week: (for interquartile ranges look at copies of graphs at the back) From the box plots I can see that the data spread is relatively the same apart from a possible anomalous result in the TV hour's data. This similarity is the reason why the scatter graph had no correlation and therefore no relationship. This means that my hypothesis is wrong. Hypothesis 1 Females Again I will start with the scatter graphs. As with the male graph I had an anomalous result that spread out the data and scale down the graph so most of the relevant data couldn't be analyzed. I then did another graph without that specific piece of data. Scatter Graphs 1 and 2 to show the relationship between IQ and average number of TV hours watched per week for Females: As you can see on both the graphs there is no correlation between the two sets of data. This again means that my first hypothesis is unlikely to be correct. There is only a slight gradient on the trend line which is not steep enough to draw any conclusions from it. There is another anomalous result on the graph but it doesn't affect the trend line and my conclusions so I left it on the graph. I will now crate cumulative frequency graphs to see if they can help me to draw conclusions. Cumulative frequency graphs for the IQ and number of TV hours watched per week: I will now analyze the graphs before drawing box plots to compare the graphs. The IQs graph is much more erratic which means that the data is spread over a larger range. Although there is 1 area where the data is concentrated and the gradient very steep, between 95-105. The TV hours graph is much smoother and the data less spread. The data number of hour's increases steadily to a certain point then it goes flat until the end. This means that there is a n anomalous result somewhere. I know that it can only be 1 or 2 anomalous because the point where it goes flat is at about 38 and there are only 39 sets of data in the graph. I will now look at the box plots to compare the two cumulative frequency graphs. Box plots for cumulative frequency graphs of IQ and number of TV hours watched for females: The box plots for these graphs show me that the IQ data has a much larger range and that it is quite evenly spread. I can see this because the interquartile range is quite large and the median evenly spread. There may be a few exceptions as 1 pupil is likey to have a very low IQ which is why the lowest value is so low. The TV hour's data seems to be much more concentrated and the data is generally lower. This shows that there can't be any relationship between them as they each grouped in certain areas. Also the box plot for TV hours shows that there is likely to bge an anomalous result as the highest value is so far out of the upper quartile. Hypothesis 2 Males In this hypothesis I will be comparing the Average number of TV hours watched per week and Weight, to see if there is any relationship between them. I will again start with Males and the Scatter graphs. Scatter graphs 1 and 2 to show the relationship between Weight and the Average number of TV hours watched per week for males: In these scatter graphs there is a slight negative correlation. This means that as the number of TV hours goes up Weight goes down. This may not be an accurate graph as there are a few anomalous results that may have caused the trend line to be that gradient. If this is so my hypothesis would have been correct, if it is not the gradient of the trend line isn't steep enough to say that it is 100% certain that it is accurate. I will need to use the cumulative frequency graphs to draw complete conclusions. Cumulative frequency graphs for the number of TV hours watched and Weights of males: These two graphs look quite different; the weights graph has most of its data concentrated in the middle of the range, between 30-50 and looks like a normal cumulative frequency curve. Whereas the number of TV hours has most of its data concentrated at the beginning between 0-30, showing that there is likely to be an anomalous result at the end of the range. These anomalous results on the TV hours graph are what caused the slight negative correlation on the trend line. I will be able to make complete conclusions after looking at the female sample and seeing if that graph follows suit. The box plots for these graphs will look quite different and will make it easy to make a simple comparison. Box plots for Cumulative frequency graphs IQ and Weight for males: From the box plots I can see that the two sets of data are almost identical in range which would cause a straight line on the scatter graph it is because of the anomalous results on the TV hours which caused the slight negative correlation. The weights box plot shows me that the data is quite evenly spread in the middle of the range apart from a very heavy person at the end which is why the highest figure is so far apart from the upper quartile. Overall the box plots show me that the similarity in the data means there is no relationship and hypothesis was correct. Hypothesis 2 Females Again I will start with the scatter graphs to show the relationship between Number of TV hours watched and weight. The graphs should be similar to the males and the conclusions the same. Again I had an anomalous result and had to create a second scatter graph without it there. Scatter graphs 1 and 2 to show the relationship between the Number of TV hours watched per week and Weight: The second scatter graph in this section, without the anomalous result completely changed the trend line. The first graph looks a lot more like the male graph whereas the second follows my hypothesis a lot better. In graph 1 there is a slight gradient on the graph which points towards a negative correlation, like those of the male sample. On the graph without the anomalous result there is clearly no correlation whatsoever as the line is nearly horizontal. I will take the results of the male sample to be wrong as I said earlier there are a few anomalous results which caused the trend line to be at that gradient. Now I will look at the cumulative frequency graphs to see what results I get from them. Cumulative frequency graphs for Average number of TV hours watched per week and Weight for Females: As on the males graph the TV hours for females have a lot of anomalous results. But for the scatter graphs I cancelled them all out which gave no correlation. If the line at the top of the TV hours graph is blanked out the two graphs look almost identical. This is why the scatter graph got a near horizontal trend line. The box plots for these to graphs will look alike apart from there will be a much longer line at the end of the TV hours graph because of the anomalous results. Box plots of cumulative frequency graphs for Number of TV hours watched and weights of females: These box plots show me the same as the males did, that the data is almost identical if placed 1 on top of the other. This is what caused the horizontal line in my scatter graphs and proves my hypothesis. Conclusion Hypothesis 1: My first hypothesis has been proved incorrect. The scatter graphs show that there is no correlation between the two sets of data. For my hypothesis to have been correct there would have needed to be a strong positive correlation. The cumulative frequency graphs and box plots again proved my hypothesis incorrect, the similarities in the two sets of data's box plots showed that there was no relationship and showed why the scatter graphs showed a straight line. Both the male and female samples showed that my hypothesis was incorrect although some anomalous results created a slight negative correlation in both it was obvious that it was still wrong. Hypothesis 2: My second hypothesis was proved correct. The scatter graphs showed that there was absolutely no correlation on the graphs which means no relationship. Although the male graphs did show a a negative correlation it was proved to be made by a few anomalous results by the cumulative frequency and later the inconsistency with the female sample. The female scatter graph showed a near horizontal trend line which was what I needed to prove my hypothesis. The similarities on the cumulative frequency graphs and box plots further proved my hypothesis was correct. Evaluation The investigation went quite well although my first hypothjesis was incorrect it showed that careful analysis of data is needed before drawing conclusions. When I next do an investigation into data I will use histograms to aid me in my analysis as they come in useful when looking for relationships in two sets of data as the cumulative frequency graphs do. I could have made the cumulative frequency graphs a little better as the program I used did not put a scale on the x axis but only the length of the range. Statistics Coursework 1st Hypothesis – For my first hypothesis I will investigate the relationship between the number of TV hours watched per week by the pupils against their IQ. I am going to use the columns â€Å"IQ† and â€Å"Average number of hours TV watched per week† taken from the Mayfield high datasheet. I think that there will be a relationship between them and will attempt to reveal it. 2nd Hypothesis – For my second hypothesis I will investigate the relationship between â€Å"Average number of TV hours watched per week† and â€Å"weight (kg)†. I think that there will not be any major relationship between as they will not affect each other greatly. I will present my analysis and the results in graphs and tables and explain the results using the correlation of the graphs and arrangements of the figures. I will select a number of pupils to base my data on and will use random sampling to ascertain the correct number of male and female pupils needed to make the investigation fair. Stratified Sampling I do not want to use all of the data in the database for my analysis so I will need to take a sample of the number of people in the school. I would like to take about 10% of the overall figure. I will also need to use stratified sampling to make it an equal proportion of the number of males and females in the school to make it fair. The total number of pupils at the school is 813 so I will need to take 10% as my number, 81.3 is rounded down to 81. The overall ratio for boys and girls in the school is: 414:399 Now I will need to do my sampling Males = 414 multiplied by 81 = 41 813 Females = 399 multiplied by 81 = 40 813 Random Sampling Now I have the number of samples I will need to select the samples I will be taking. To do this I will use random sampling. I will take random samples until I have 81. I can do this on Excel using the following formula: = round(round()*120. Once I have gathered the samples I am ready to start analyzing my samples. Analysis Hypothesis 1 Males The first thing I need to do in my analysis is to analyze my graphs which are the source of the investigation. I have created scatter graphs to show the relationship if the two data sources for my first hypothesis. I have separated them into male and female graphs as there is a separation in the numbers. First male scatter graph: This first graph presented a bit of a problem. There was an anomalous result that affected the trend line and the scale of the graph. I decided to create a new graph that didn't include that 1 piece of data. This way it would help me to analyze the rest of the data. Second male scatter graph: This graph showed the data much clearer and I could then start analyzing it. There is no correlation between the 2 sets of data. This means that it is unlikely that there is a relationship between IQ and Average number of TV hours watched per week. In this it may be that my hypothesis is incorrect. There is only a very slight gradient on the trendline that leans towards a negative correlation, but the gradient is not steep enough to draw any conclusions about the relationship between the two sets of data. I will have to use the cumulative frequency graphs and boxplots to see if any conclusions can be made. Cumulative frequency graphs for IQ and Average number of TV hours watched per week: From these graphs I could create box plots and compare the two sets of data. Before that I analyzed the cumulative frequency graphs to draw initial conclusions. The majority of the IQs for males are between 90 – 105, this shows that the data is quite spread out as this section only covers a small area of the graph. For the TV hour's graph, again the data is spread among 1 main area; in this case it is between 5-25. There is almost a straight line near the top of the graph; this shows that there is likely to be some anomalous results and 0 pupils in between that result and the main bulk. Now I will create box plots so I can compare the two graphs together. Box plots for cumulative frequency graphs of IQ and average number of TV hours watched per week: (for interquartile ranges look at copies of graphs at the back) From the box plots I can see that the data spread is relatively the same apart from a possible anomalous result in the TV hour's data. This similarity is the reason why the scatter graph had no correlation and therefore no relationship. This means that my hypothesis is wrong. Hypothesis 1 Females Again I will start with the scatter graphs. As with the male graph I had an anomalous result that spread out the data and scale down the graph so most of the relevant data couldn't be analyzed. I then did another graph without that specific piece of data. Scatter Graphs 1 and 2 to show the relationship between IQ and average number of TV hours watched per week for Females: As you can see on both the graphs there is no correlation between the two sets of data. This again means that my first hypothesis is unlikely to be correct. There is only a slight gradient on the trend line which is not steep enough to draw any conclusions from it. There is another anomalous result on the graph but it doesn't affect the trend line and my conclusions so I left it on the graph. I will now crate cumulative frequency graphs to see if they can help me to draw conclusions. Cumulative frequency graphs for the IQ and number of TV hours watched per week: I will now analyze the graphs before drawing box plots to compare the graphs. The IQs graph is much more erratic which means that the data is spread over a larger range. Although there is 1 area where the data is concentrated and the gradient very steep, between 95-105. The TV hours graph is much smoother and the data less spread. The data number of hour's increases steadily to a certain point then it goes flat until the end. This means that there is a n anomalous result somewhere. I know that it can only be 1 or 2 anomalous because the point where it goes flat is at about 38 and there are only 39 sets of data in the graph. I will now look at the box plots to compare the two cumulative frequency graphs. Box plots for cumulative frequency graphs of IQ and number of TV hours watched for females: The box plots for these graphs show me that the IQ data has a much larger range and that it is quite evenly spread. I can see this because the interquartile range is quite large and the median evenly spread. There may be a few exceptions as 1 pupil is likey to have a very low IQ which is why the lowest value is so low. The TV hour's data seems to be much more concentrated and the data is generally lower. This shows that there can't be any relationship between them as they each grouped in certain areas. Also the box plot for TV hours shows that there is likely to bge an anomalous result as the highest value is so far out of the upper quartile. Hypothesis 2 Males In this hypothesis I will be comparing the Average number of TV hours watched per week and Weight, to see if there is any relationship between them. I will again start with Males and the Scatter graphs. Scatter graphs 1 and 2 to show the relationship between Weight and the Average number of TV hours watched per week for males: In these scatter graphs there is a slight negative correlation. This means that as the number of TV hours goes up Weight goes down. This may not be an accurate graph as there are a few anomalous results that may have caused the trend line to be that gradient. If this is so my hypothesis would have been correct, if it is not the gradient of the trend line isn't steep enough to say that it is 100% certain that it is accurate. I will need to use the cumulative frequency graphs to draw complete conclusions. Cumulative frequency graphs for the number of TV hours watched and Weights of males: These two graphs look quite different; the weights graph has most of its data concentrated in the middle of the range, between 30-50 and looks like a normal cumulative frequency curve. Whereas the number of TV hours has most of its data concentrated at the beginning between 0-30, showing that there is likely to be an anomalous result at the end of the range. These anomalous results on the TV hours graph are what caused the slight negative correlation on the trend line. I will be able to make complete conclusions after looking at the female sample and seeing if that graph follows suit. The box plots for these graphs will look quite different and will make it easy to make a simple comparison. Box plots for Cumulative frequency graphs IQ and Weight for males: From the box plots I can see that the two sets of data are almost identical in range which would cause a straight line on the scatter graph it is because of the anomalous results on the TV hours which caused the slight negative correlation. The weights box plot shows me that the data is quite evenly spread in the middle of the range apart from a very heavy person at the end which is why the highest figure is so far apart from the upper quartile. Overall the box plots show me that the similarity in the data means there is no relationship and hypothesis was correct. Hypothesis 2 Females Again I will start with the scatter graphs to show the relationship between Number of TV hours watched and weight. The graphs should be similar to the males and the conclusions the same. Again I had an anomalous result and had to create a second scatter graph without it there. Scatter graphs 1 and 2 to show the relationship between the Number of TV hours watched per week and Weight: The second scatter graph in this section, without the anomalous result completely changed the trend line. The first graph looks a lot more like the male graph whereas the second follows my hypothesis a lot better. In graph 1 there is a slight gradient on the graph which points towards a negative correlation, like those of the male sample. On the graph without the anomalous result there is clearly no correlation whatsoever as the line is nearly horizontal. I will take the results of the male sample to be wrong as I said earlier there are a few anomalous results which caused the trend line to be at that gradient. Now I will look at the cumulative frequency graphs to see what results I get from them. Cumulative frequency graphs for Average number of TV hours watched per week and Weight for Females: As on the males graph the TV hours for females have a lot of anomalous results. But for the scatter graphs I cancelled them all out which gave no correlation. If the line at the top of the TV hours graph is blanked out the two graphs look almost identical. This is why the scatter graph got a near horizontal trend line. The box plots for these to graphs will look alike apart from there will be a much longer line at the end of the TV hours graph because of the anomalous results. Box plots of cumulative frequency graphs for Number of TV hours watched and weights of females: These box plots show me the same as the males did, that the data is almost identical if placed 1 on top of the other. This is what caused the horizontal line in my scatter graphs and proves my hypothesis. Conclusion Hypothesis 1: My first hypothesis has been proved incorrect. The scatter graphs show that there is no correlation between the two sets of data. For my hypothesis to have been correct there would have needed to be a strong positive correlation. The cumulative frequency graphs and box plots again proved my hypothesis incorrect, the similarities in the two sets of data's box plots showed that there was no relationship and showed why the scatter graphs showed a straight line. Both the male and female samples showed that my hypothesis was incorrect although some anomalous results created a slight negative correlation in both it was obvious that it was still wrong. Hypothesis 2: My second hypothesis was proved correct. The scatter graphs showed that there was absolutely no correlation on the graphs which means no relationship. Although the male graphs did show a a negative correlation it was proved to be made by a few anomalous results by the cumulative frequency and later the inconsistency with the female sample. The female scatter graph showed a near horizontal trend line which was what I needed to prove my hypothesis. The similarities on the cumulative frequency graphs and box plots further proved my hypothesis was correct. Evaluation The investigation went quite well although my first hypothjesis was incorrect it showed that careful analysis of data is needed before drawing conclusions. When I next do an investigation into data I will use histograms to aid me in my analysis as they come in useful when looking for relationships in two sets of data as the cumulative frequency graphs do. I could have made the cumulative frequency graphs a little better as the program I used did not put a scale on the x axis but only the length of the range.

Baby Thesis-Computerized Ssc Record Keeping - 4630 Words

ABSTRACT This research study entitled â€Å"Computerized SSC Record Keeping† was conducted at Romblon State University-Cajidiocan Campus during the 1st Semester of the Academic Year 2011-2012. This study attempts to design a computerized record keeping helping the Supreme Student Council in record keeping as well as the students as they transact business in the SSC office as they secure the SSC Secretary’s signature. The system provides a fast, accurate and easy way of record keeping and retrieval of information. The main objective of this study is to design, develop and operate a computerized SSC record keeping. The proponents made use of the descriptive survey type of research in knowing the perceptions of the students in the traditional†¦show more content†¦The officers are also in-charge in checking the student’s attendances on school activities and in collecting contributions for school affairs. All records were being kept by the SSC Secretary for f uture use. Before examination periods, students are required to secure their examination permits and have all signatories to sign in their respective slot for them to be able to take their examinations. Students fall in line and sometimes crowding in the corridors and the stair in front of the office just to transact business with the SSC personnel. On the other hand, the SSC Secretary and Treasurer are having a hard time sorting files in folders, manually checking for each student’s records. Having these scenarios, sometimes the SSC personnel just end up arguing with impatient students. The researchers of this study were also aware of the said situation and were able to think of a remedy to help the SSC officers regarding this problem by means of designing a computerized Supreme Student Council record keeping. Statement of the Problem The study was conducted to design a computerized Supreme Student Council Record keeping at Romblon State University- Cajidiocan Campus. Specifically, the study attempted to answer the following questions: 1. What problems are encountered in the traditional way of record keeping? 2. What is the perceived best solution to these problems? 3. If the record keeping will be computerized, what features