References• Recommendations • Analysis and Summary of the statistical results • Results, and Statistical and non-statistical interpretation • Statistical Technique and Justification • Hypothesis Development • Research Design • Introduction • Executive Summary •Please follow the following sequence in the report structure:
This section should provide a brief overview of the data analysis report. You should discuss the subject matter, the method of analysis, the findings and recommendations and any limitations of the report. It is suggested that the Executive Summary should be the last section that you write.
Provide a brief background to the case to put your analysis in context. Provide a discussion of the objectives of your analysis.
Discuss the data collection process and the sampling procedures that were applied. In this section, you should also outline the ethical considerations that would have been taken into account when collecting data from this survey and reporting your results. This section should include references..
You need to develop hypothesis linked to each question on page 2. You should mention the question first and then write corresponding null and alternate hypotheses.
Question: How much are potential patrons willing to pay for the entrées? Is the $18 amount from the forecasting model the correct value to use when setting food prices?
Null hypothesis (H0): The average amount patrons are willing to spend on the entrée course is equal to $18. Alternate hypothesis (HA): The average amount patrons are willing to spend on the entrée course is not equal to $18.
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Statistical Technique and Justification
You should categorically mention which statistical technique is used to test a particular hypothesis. Sufficient justification should be provided for choosing a statistical technique. You should mention whether you are comparing the means or measuring the degree of relationship between/among the relevant variables. Use credible academic references.
To test hypothesis one, one-sample t-test is used as this is the appropriate test to compare the difference between mean of one variable and a pre-determined mean (Zikmund, Babin, Carr, & Griffin, 2012, p. 520).
Results, and Statistical and non-statistical Interpretation
In this section, you should present your empirical result and then provide statistical and non-statistical interpretation of the result.
The result of hypothesis test 1 is presented in Table 1:
Table 1: One-sample t-test for difference in patron expenditure Variable 1 Variable 2 Mean 20.14118 18 Variance 91.85022 0 Observations 340 340 Hypothesized Mean Difference 0 df 339 t Stat 4.119569 P(T<=t) one-tail 2.39E-05 t Critical one-tail 1.649361 P(T<=t) two-tail 0.0000477 t Critical two-tail 1.966986 Statistical interpretation: From Table 1, it is evident that t-calculated (4.119) is greater than t-critical (1.967) and p-value is less than the significance level (5% level of significance), thus, we can reject that null hypothesis that the average patron is willing to pay $18 for their entrée (p-value 0.0000477) at 5% level of significance. Non-statistical interpretation: The average expenditure ($20.14) is greater than $18 (value obtained from forecasting model). Therefore, the average expenditure value should be used when pricing foods in the restaurant. Page 7 of 7 Analysis and Summary of the Statistical Results Synthesise the hypothesis test results as they relate to the two key research questions: the current degree of customer satisfaction and the strategy or strategies that would be most effective to increase customer satisfaction. Report a summary of your key findings and the conclusions that can be derived from this analysis. Recommendations Provide recommendations to Computers R Us. Each recommendation should be linked to one of your key findings presented in the previous section. Bullet points can be used for the recommendations. References American Psychological Association (APA) 6th Edition of referencing style should be followed. You can find helpful examples of APA 6th ed. citation in pp 27–41 of the 2015 NBS Postgraduate Student Manual as well as at http://www.apastyle.org/index.aspx. For Example: Zikmund, W., Babin, B., Carr, J., & Griffin, M. (2012). Business research methods (9th ed.): Cengage Learning.