A significant chi-square test result indicates the specific effects of the IV on the DV.

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Question 2 of 20

1 Points

You would like to test if there has been a significant increase in employee sales totals from last year to this year. What statistical test would you use?

• A. 2-sample t test of population mean difference
• B. Matched pairs t test
• C. 1-sample t test
• D. none of the above

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Question 3 of 20

1 Points

In chi-square testing, larger values of the test statistic are more likely to be statistically significant.

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Question 4 of 20

1 Points

You run an ANOVA test, which was statistically significant. Your group confidence intervals are:

Group A: (1200, 1400)

Group B: (1475, 1650)

Group C: (1445, 1600)

You conclude that:

• A. All of the means are about equal.
• B. Group A mean is significantly less than Group B mean. And, Group B and C means are about the same.
• C. Since the P-value is significant, the null is rejected and the means are not equal.
• D. Without the P-value the conclusion can't be determined

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Question 5 of 20

1 Points

You plan to use ANOVA testing to test whether job type has an effect on employee stress. The data you will need are:

• A. job type in at least 3 categories
• stress in at least 3 categories
• B. job type is 2-5 categories
• stress in 2-5 categories
• C. job type in at least 3 categories
• stress in a quantitative score
• D. there are several possibilities of data types for ANOVA

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Question 6 of 20

1 Points

You would like to test to determine if the average monthly sales total for an employee is significantly greater than a typical monthly average. The correct test to run would be:

• A. 2-sample t test
• B. Matched pairs t test
• C. 1-sample t test
• D. 1-sample z test

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Question 7 of 20

1 Points

You have 2 quantitative variables. One is an IV and one is a DV. Assuming that the data may be grouped into categories, to test effects of the IV on the DV you can validly use:

• A. 2-sample t testing
• B. Chi-square testing
• C. ANOVA testing
• D. All of the above

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Question 8 of 20

1 Points

ANOVA testing assumes:

• A. A normal distribution
• B. A normal distribution for each group
• C. Equal variance for each group
• D. Both B and C

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Question 9 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), the results for an ANOVA used to test the effect of household size category on average spending would begin as:

• A. F(2) = 66.413
• B. F(106) = 66.413
• C. F(2,106) = 66.413
• D. F(108) = 66.413

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Question 10 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), an ANOVA used to test the effect of household size category on average spending produces a P-value that is:

• A. barely significant at the 5% alpha level.
• B. highly significant.
• C. not significant at all.
• D. close to 1.

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Question 11 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to use a 2-sample t test to compare the mean spending between only 2 of the marital status groups, M and D. What is the sample mean difference between the M and D groups?

• A. -775.36
• B. -758.31
• C. 103.37
• D. 861.68

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Question 12 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to use a 2-sample t test to compare the mean spending between only 2 of the marital status groups, M and D. Is the mean difference between M and D statistically significant?

• A. Yes, highly significant!
• B. No, not significant.
• C. Yes, but only at 5% alpha.
• D. Can't determine significance between M and D.

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Question 13 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to use a 2-sample t test to compare the mean spending between only 2 of the marital status groups, M and D. The best way to state the conclusion is which of the following?

• A. There difference between the population means can be close to zero.
• B. There is no significant difference between population means.
• C. The difference between M and D population means is in the range of -376.63 to 583.36.
• D. All of these are good conclusions.

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Question 14 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if there is a statistically significant association between education level and spending category (variable 7). The correct statistical test would be:

• A. 2-sample t test
• B. ANOVA
• C. Chi-Square
• D. regression

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Question 15 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if there is a statistically significant association between education level and spending category (variable 7). The correct degrees of freedom for this test would be:

• A. 2
• B. 3
• C. 4
• D. 5

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Question 16 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if there is a statistically significant association between education level and spending category (variable 7). What is the decision in terms of the null hypothesis?

• A. Reject
• B. Accept
• C. Do not reject
• D. Strongly reject

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Question 17 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if there is a statistically significant association between education level and spending category (variable 7). The conclusion to this test would be that:

• A. The variables have no association
• B. The variables have a statistically significant association
• C. The variables have no statistically significant association
• D. The variables have a highly significant association

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Question 18 of 20

1 Points

When a result is statistically significant,

• A. we reject the null hypothesis.
• B. the P-value is less than alpha.
• C. the result is not likely random.
• D. all of the above

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Question 19 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if cardholder age is likely greater than 35. What are the test results?

• A. t (92) = 2.137, P=.000
• B. t (108) = 2.387, P= .0187
• C. t (108) = -.852, P = .3963
• D. t (108) = 1.982

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Question 20 of 20

1 Points

Using Excel (Testing and Estimation.xlsx), you would like to test if cardholder age is likely greater than 35. Based on your result, you would conclude that:

• A. Cardholders are about 35, on average
• B. Cardholders are older than 35, on average
• C. Our sample mean is greater than 35, though not significantly
• D. Can't make a conclusion based on this result

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