# The manager of a computer software company wishes to study the number of hours per week senior executives by type of industryspend at their desktop computers. The manager selected a sample of five executives from each of three industries. At the 0.05significance level, can she conclude there is a difference in the mean number of hours spent per week by industry?TTBankingRetailInsurance12810101066Rectangular Snip1288101610Click here for the Excel Data File1. State the null hypothesis.но р1u3H1 Treatment meansall the same 2. What is the decision rule? (Round your answer to 2 decimal places.)F 0.05>Rectangular Snip3. Complete the ANOVA table. (Round your SS, MS, and Fvalues to 2 decimal places.)Analysis of VarianceSourceTreatmentsErrorSSdfMSF4. State your decision regarding the null hypothesis.Decision:Но

Question
 Banking Retail Insurance 12 8 10 10 8 8 10 6 6 12 8 8 10 10 10
Step 1

1.

The null and alternative hypotheses can be written as follows.

Step 2

Decision rule:

If the F­-statistic value is greater than F-critical value, then reject the null hypothesis. Otherwise do not reject the null hypothesis.

3.

The comparison of three means (ANOVA) is conducted by using EXCEL. The software procedure is given below:

• Enter the data as Banking in column A, Retail in column B, and Insurance in column C.
• Select Data > Data analysis > Anova: Single factor > OK...

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