Quantitative Analyst Statistics with SPSS

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Description

Experience Level: Intermediate
Based on data provided: Oil prices, & Company stock price and volume, gasoline prices within population of 365 day period select three data sets (22/23 business days i.e Jan, Feb, March)

Include brief explanations of your analysis that would help a non specialist manager.

From the sample data:

1) Produce a summary of the most important characteristics of the data, using descriptive statistics and graphical representations. Provide brief comments on your findings.

2) Make 4 inferences about the relevant population in the form of Hypothesis testing. Must include a test that involves the ANOVA Procedure. For each test indicate any assumptions that are required to make conclusion.

3) Develop a regression Model using two or more variances using two or more variables, explaining fully the selection process of the variables. Diagnose any problems associated with your model and indicate any assumptions that are required to validate your conclusions

KEY NOTES:

1) Must show use of statistical software SPSS16 NOT EXCEL

2) DATA SET = 30 CASES (maximum) with three distinct observations for comparison & contrast
i.e. Historical Daily share prices 22/23 business days over three distinct periods within a year; POPULATION =365 DAYS

3) Must Demonstrate workings & step by step guide of spss in appendices both hard & soft copies

4) 1700 words MAXIMUM

If you have any queries please contact us through the clarification board.

Thanks

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