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Description / paper instructions
Individual coursework assignment of 1000 words.
Task 1. Coursework Brief
For this coursework task you are required to perform an independent samples t-test using SPSS. Your solution should be word-processed and submitted electronically. Your solution should include any output produced from the analysis, and an account of the methods you used to obtain that output.
150 students, selected at random from the students studying Business Management at Level 1 in Welsh universities, took part in an Entrepreneurship Project and were marked on a scale of 0 to 100. They were also asked to record whether they had studied Business at A-level or equivalent standard before entering university. Our analysis is carried out with the expectation that those who have studied Business previously will have an advantage in the project.
The data are in the SPSS datafile Entrepreneur.
Perform a suitable independent samples t-test on this data.
You should address the following questions, explaining your answers in detail:
(a) What is the population from which this sample was drawn?
(b) What is the purpose of Levene’s Test? Explain why it is important that Levene’s Test is included in the output for this independent samples t-test
(c) What is the Null hypothesis for Levene’s Test?
(d) Do we accept or reject the null hypothesis for Levenes Test? Explain why.
(e) Which of the two t-tests labelled Equal variances assumed and Equal variances not assumed should we use? Explain why.
(f) In order to apply the t-test, what assumption do we make about the distribution of the data?
(g) What is the null hypothesis for the t-test?
(h) Do we reject or fail to reject the null hypothesis for the t-test? Explain why.
(i) Is it appropriate to use a one-tailed or two-tailed test here? Explain why.
(j) What overall conclusion can we draw from this output? include a reference to the minimum difference between the marks of students who have or have not studied Business at A-Level that you would expect to find in the population.
Task 2. Coursework Brief
For this task you are required to solve a regression problem using SPSS. Your solution should be word-processed and submitted electronically. Your solution should include any output produced from the analysis, and a detailed account of the methods you have used, the reasons you have chosen those particular methods, and the conclusions you have drawn.
Analysts for an icecream manufacturer are aware that sales of their icecream increase when the weather is warmer, and would like to determine the relationship between temperature and sales more precisely. They collect daily data on temperature (degrees Celsius) and sales (thousands of pounds) for six weeks. These data are in the Excel worksheet Icecream.
Import the data into SPSS and produce a suitable graph to investigate the relationship between the two variables, and report your findings.
Perform an appropriate regression analysis in SPSS, to predict sales figures given the temperature, and write a detailed report of your findings. Your report should address (but not necessarily be confined to) the following questions:
(a) What percentage of the variation in ice cream sales is accounted for by your model?
(b) What is the equation of best fit, and how do you interpret the coefficients in your model?
(c) By how much, on average, can we expect sales to increase if the temperature rises by 5 degrees?
(d) What assumptions are made about the distribution of the data. If you are able to test whether the assumptions appear to be true, report on your results.
(e) On average, what level of sales can we expect on a day when the temperature is 23 degrees?
(f) In a worst case scenario, what is the lowest level of sales that we would expect on a day when the temperature is 23 degrees? (Use a confidence level of 95%.)
Dear writer I couldnot Upload the files that will be used in the coursework. If you do not mind Please sign in to my blackboard. You can login throgh (my Uni Swansea)
then, you go to statistic2 for Business under assement and feedback you will find the data their.
The names of the files are:
1- Entrepreneur data
2- Ice creme data
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
The background and/or significance are missing. No search history information is provided.
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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