Briefly explain (in one or two sentences) what type of test approach you would use to determine if there is a difference in the mean salaries among all industries. Also, how would you set up the null and alternate hypothesis?
Conduct a test to determine if the mean salaries among all industries are equivalent. Also, if there is a difference briefly explain or identify the variables or categories (treatment) that contribute to this difference (You may use Tukey's Procedure for answering this part)
Conduct a test to determine if there exist a difference in the mean executive salary for the following groups of industries:
I. Industrial and Basic Materials
II. Industrial and Technology
III. Basic Materials and Technology
Before conducting the test above, perform a test on equivalent population variances for each pair of company type. In a brief paragraph, comment of the conclusions of the test results.
Determine the upper and lower range salary values for each industry at 90% and 95% confidence intervals
Perform a test of normality (Chi-Square evaluation) on the data for each of the three industries in part c and comment on your findings. First produce a histogram with about 5 categories for this test and perform the test using a Chi-Squared approach, then validate it using SPSS Normality Plot Approach
Problem 2: Refer to file "Heating_Bill.xls," which provides heating bills on a sample of residential homes for the month of February. The file categorizes the data by the type of home (single level or two story) and heating source (natural gas, electric and oil). Conduct a test at the a=.05 level to answer the following questions:
Is there evidence to suggest that the type of heating source used impacts the monthly heating bill?
Is there evidence to suggest that the type of home (single or two story) impacts the monthly heating bill?
Is there evidence to suggest that the interaction between these two categories (type of home or heating source) impacts the monthly heating bill?