Question: Please answer all Question 1 Suppose we are comparing the average Sales between three segments: Segment A, Segment B, and Segment C. We compute an

Please answer all

Question 1

Suppose we are comparing the average Sales between three segments: Segment A, Segment B, and Segment C.

We compute an ANOVA, and the p-value is small; approximately 0.000003

What can we conclude?

All three segments have different values for average sales; we can rank the segments from lowest average sales to highest average sales, and no two segments are about the same.

After controlling for variability within each segment, all three segments have about the same average sales.

We're confident the average sales is different for at least two of the segments.

Question 2

Suppose we have a large data set with information from an online store. The store is showing each customer a randomly chosen webpage layout: version A, version B, or version C. We would like to determine if the average customer revenue is different when comparing the three versions.

What method can we use?

Independent t-test

Paired t-test

We can not use any type of t-test in this situation.

Question 3

Suppose we have information about customers at 20 different stores. A large sample of customers were asked to provide a customer satisfaction score, and we wish to determine if there are any differences in average customer satisfaction scores when comparing the 20 stores.

What method can we use?

Paired t-test

Independent t-test

We can not use any type of t-test in this situation.

Question 4

Suppose we have a large data set that has 1,174 rows of data.

There are two variables: Segment and Sales.

The variable Segment 7 possible groups, and the variable Sales is a quantitative variable.

If we compute an ANOVA to detect differences in average Sales between the segment, the degrees of freedom for the Residuals (i.e. the degrees of freedom for the denominator of the test statistic, df2), equals ____ .

Question 5

Suppose we use formulas to compute the total sum of squares and the residual sum of squares from the data.

Complete the following table. The F-value for this ANOVA equals _________ .

Sum of Squares

Degrees of freedom

Mean Square

F statistic

Group

2

????

Residual

1,500

100

Total

7,500

102

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