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Statistics and Research Methods - Essay Example

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The paper "Statistics and Research Methods" tells us about the effect of corporate social responsibility on the profitability of multinational companies. The aim of the study is to understand the effect of the corporate social responsibility of Nestle UK (Halifax) on the company’s financial performance…
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Extract of sample "Statistics and Research Methods"

The effect of corporate social responsibility on profitability of multinational companies, a case study of Nestle UK (Halifax) limited Table of Contents Table of Contents 2 About the company (Nestle UK (Halifax) limited 3 The company’s Mission Statement 3 The company’s vision 3 How the research will be conducted 4 Quantitative and Qualitative 4 The data and its analysis 6 Tables 6 Percentages 8 Sampling Design 8 Conclusion 8 Performing a confidence interval 8 The 4 steps of performing a hypothesis test 9 The 5 steps of performing a hypothesis test 10 Conclusion 11 The strengths and weaknesses of the selected statistical methods 11 Works Cited 12 The reason why we choose the topic for the study is that, corporate social responsibility has been the rising issue since, the relationship between the company and the shareholders in terms of customers, the community and the employees of the company is weakening each financial period and hence, there is need to understand the impact of corporate social reasonability on the company’s financial position. The aim of the study is to understand the effect of corporate social responsibility of Nestle UK (Halifax) on the company’s financial performance. Bit more specifically, the study tries to comprehend the following; to find out the manner to which the company undertakes the corporate social responsibility as the key links in the FMCG industry and to comprehend the intricacies faced by the company in undertaking the corporate social responsibility practices. About the company (Nestle UK (Halifax) limited The company’s Mission Statement To absolutely improve the excellence of life of people of UK Halifax by all that we do through our staffs, the brands, the products and the company’s Created Shared Value (CSV) plan. The company’s vision Nestlé’s vision is to be the internationally accepted principal Nutrition, Health and Wellness (NHW) business. Nestle UK (Halifax) subscribes completely to this vision and the values that come with it. .Research questions How does the business get on corporate social responsibility? What experience does corporate social responsibility impose on company? Does the corporation corporate social responsibility provides pledge on the customers’ self-assurance level? The importance of the above research question is that, it will aid in forming the basis of our research study. This is because, the research plans to centre on the contribution to knowledge in the provision of information relating to the corporate social responsibility with regards to the company on FMCG industry and also to be a significant material for corporate social responsibilities. The research question will provide information on the effect of corporate social responsibilities on company’s financial performance. The research question will also provides information on the encounter of the corporate social responsibility in the fast moving consumer goods industry (Marks). How the research will be conducted The research methodology is developed as per the criteria that the examiner needs to test. As a result, choosing the appropriate approach for the research is appropriate. Quantitative and Qualitative Examiners must take into consideration the relevant kind of research approach whilst doing their study. The main type of data collection is the quantitative and qualitative research method. The qualitative method focuses on interpretive model that is concerned with the activities and judgment of human that is normally intricate and illogical methodology. Scholars have classified it as a subjective and an efficient approach to use in the study. The quantitative research method on the other hand is related to the positivism model and it has been classified as an objective or phenomena linked to the study subject. It as ell depicts the deductive logic as well as it emphasize that meaningful study might take into consideration the real observation of a phenomena. Secondary data depends on the appraising the past basis collected from the past articles, books and journals. There are some benefit of using the quantitative method, first is that, it considers comprehensive study which enhances the correctness and the objectivity of the results for the study. Secondly, the outcome will be autonomous in order to require less time to proceed. Thirdly, it is very important for examining the numerous numbers of statistics. Fourthly, the secondary data is a dependable for social information and lesson subjectivity. Nevertheless, some weakness should take into consideration by employing the quantitative research; it is complex to manage the environment given that the responded answer the question. Secondly, the answer is incomplete in some situation because it doesn’t depict personal judgment concerning the key subject or might be categories as scarce descriptive data (Bridget). Under this method, to considers the realistic study of identifying the phenomena by Way of arithmetical, statistical or numerical methodology. The aim of the methodology is to develop and consider a numerical model, hypothesis and also assumption concerning phenomena. The series of considering the core to quantitative study is significant since it [provides the key association concerning the real observation and numerical expression of quantitative associations. the data that is numerical such as the statistics might imply that the quantitative research seek to provide a solutions to some questions and as well as gather sample of arithmetical data observable from phenomena. The examiner inspect the data gathered with the help of statistical too with the aim of creating non-discriminatory outcome .the use of quantitative approach depict same sample size unlike quantitative research, that would lead to dissimilar approach when it comes to using the data gathered. The main part of the qualitative analysis is the interpretation of the data collected; the larger sampling present for the research to quantitative research approach enables outcomes to be detailed from the research model (Bridget). In qualitative research, such generalizing capacity is not appropriate approach. Qualitative research seeks to deal with human understanding as well as more linked with transferability when the findings fit into the situation outside the research situation that are determined by the resolute by the similarity of fit entailing the two situations The data and its analysis The data assessment is designed to address the research question of the study. The key objective of the developing the CSR Index is to evaluate the data with the help of quantitative tool to allow a comprehensive appraisal such as comprehending the links between the CSR and the company financial performance. The statistical tool employed in understanding the data collected in the study are as follows; Tables The tables are effective and provide a summary of the quantitative day. They are used to plan facts and figures column and rows. The facts and figures may be logically examined. Sex distribution of respondents Sex frequency percentage male 30 30% female 70 70% total 100 100 % Table 4.1.1.2.Distribution of respondent’s age bracket age frequency % 16-24 22 22% 25-34 46 46% 35-44 24 24% 45 and above 8 8% total 100 100% Percentages This is important in changing the frequency counts to percentage. The percentage theory is significant in depicting the respondent’s distribution according to their response. The advantage of the percentage for our study is that, it will provide an overview of the population and sample that is simple to interpret. Sampling Design A sample is a subset of the population constituent while the sampling is concerned with the collection of some observation focused on yielding some compression relating to the population of concern for statistical reference. The intention of sampling design is significant when it is impractical to examine the entire population data (Marks). For our research, the examiner was not a position to study the whole population due to the volume of limits that comprised of time, cost and size of the populations. The researcher created a small group of 25o respondent form the populations that are representative of the entire population for the study. Conclusion Since, we trying to understanding the impact of corporate special responsibility on firm financial performance, our parameters for test analysis will the financial data, the amount spent on corporate social responsibility. This parameters will be subject to statistical analysis at 95% confidence level ion order to generate a report to understand the correlation between the impact of Corporate social responsibility And firm financial performance at 95% confidence level (Marczyk). Performing a confidence interval The 4 steps of performing a hypothesis test Step one; whether the corporate social responsibility depict an impact on firm financial performance Step two; confidence level is 95% Step three; Randomization and normal distribution of data Step four; solving the problem. We use the formula x-bar +- z*(sigma/sqrt(n)). Where ; The sigma/sqrt(n) is the standard deviation for the sampling distribution of x-bar t-Test: Two-Sample Assuming Unequal Variances CSR Firm performance Mean 25 17.6 Variance 246.67 0.02 Observations 4 4 Hypothesized Mean Difference 0 df 3 t Stat 3.151579 P(T Read More
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