This assignment uses the same data that was used in assignment 1. A due date for the assignment will be determined shortly and announced in class. You are to perform a wide variety of tests on the data and submit the EXCEL workbook containing your work and **a WORD document summarizing your results.**

- Conduct the following tests on the data
- Test whether the variance of SALES equals 4,600,000 at the 95% level.
- Test whether the variance of SALES is greater than 5,000,000 at the 95% level.
- Test whether the variance of TEMP is equal to 300 at the 99% level.
- Test whether the variance of MIN is less than 200 at the 90% level.

- Conduct the following tests on the data using the following definitions: Winter is December, January and February; Spring is March, April and May; Summer is June, July and August; and Fall is September, October and November.
- Test whether the variance of SALES is the same in Winter and Summer.
- Test whether the variance of SALES is the same in Winter and Fall.
- Test whether the variance of SALES is the same in Winter and Spring.
- Test whether the variance of SALES is the same in Spring and Fall.
- Test whether the variance of TEMP is the same as the variance of MIN.

- Conduct the following tests on the data
- Test whether SALES are the same in the Spring and the Fall at the 99% level.
- Test whether SALES are more than 5,000 higher in Summer than in Winter at the 90% level.
- Test whether SALES are higher on Weekends in May or Weekends in September at the 95% level.
- Test whether SALES are higher in Fall than in Spring at the 99% level.
- Test whether SALES are equal on weekdays and weekends during the Summer at the 95% level.

- Repeat all the problems in 3. above using ANOVA instead of the direct test. Point out any differences.
- Create a frequency distribution of the temperature variable from the first assignment – use decile temperatures (30-39, 40-49, etc) for grouping the data. Answer the following questions using Chi-Squared tests.
- Do you believe that the data are distributed uniformly on [30,100]? (HINT: This would mean the same number of observations in each temperature block).
- Do you believe that the data are distributed normally? (HINT: You will need to create a standard normal equivalent using mean and standard deviation from assignment 1 and create probabilities for all of the endpoints of the data blocks to find the expected frequencies).

- Create a frequency distribution for the sales variable from the fist assignment – use $1,000 increments ($0-$999.99, $1,000-$1,999.99, etc). Answer the following questions using Chi-Squared tests.
- Do you believe that the data are distributed uniformly on [1,000; 10,000]?
- Do you believe that the data are normally distributed?

- What assumptions were needed to perform the tests in 1.-4.? Perform the tests in 1-4 again using a test that makes no (or minimal) assumptions. Describe the test and contrast the results from this test with the tests in 1.-4.
- What assumptions were needed to perform the tests in 5.-6.? Perform the tests in 5.-6. again using a test that makes no (or minimal) assumptions. Describe the test and contrast the results from this test with the tests in 5.-6.