1 The alpha level is set by the researcher rather than being

1. The alpha level is set by the researcher rather than being determined by the data.

aTrue

bFalse

2. A one-way analysis of variance on two independent groups generally requires follow-up (i.e., post hoc) tests. aTrue

bFalse

3.It is important to determine statistical significance AND practical significance.

aTrue

bFalse

4. A Chi-square test is used for contingency tables to determine if there is a relationship between the categorical variables.

a. No

b. Yes

5. Analysis of variance (ANOVA) is appropriate when you have one or more categorical independent variables and a quantitative dependent variable.

aTrue

bFalse

6. A one-way ANOVA would be appropriate if you were comparing two or more groups (forming your categorical independent variable) and you have one quantitative dependent variable.

aTrue

bFalse

7. The probability value is also called the p value.

aTrue

bFalse

8. If a finding is statistically significant then it must also be practically significant.

aTrue

b False

9. The research compares the probability value and the significance level to determine is if a result is statistically significant.

aTrue

bFalse

10. Random sampling is not an assumption in the use of inferential statistics.

aTrue

b False

11. The chi-square test is used to test if the relationship in a contingency table is statistically significant.

aTrue

bFalse

12. The significance level is also called the alpha level.

aTrue

bFalse

13. The probability value is set by the researcher.

a True

b False

14. What sampling distribution is used for the t test for correlation coefficients?

a. The t distribution

b. The Z distribution

c. The chi-square distribution

d. The F distribution

15. What sampling distribution is used for one-way analysis of variance?

a. The t distribution

b. The Z distribution

c. The F distribution

d. The chi-square distribution

16. When analyzing her data, Mei Ling found that her sample was 40% Asian-American but the population value was known to be 15% Asian-American. This would be an example of:

a. distribution error

b. sample error

c. sampling error

d. standard error

Solution

1 TRUE 2 FALSE 3 TRUE 4 Yes 5 TRUE 6 TRUE 7 TRUE 8 FALSE 9 TRUE 10 TRUE 11 TRUE 12 TRUE 13 FALSE 14 a t distn 15 F distn 16 c. sample error