1. Differences analysis involves the following type(s) of tests?
a. One sample t-test
b. Paired sample t-test
c. Independent sample t-test
d. ANOVA
e. All of the above
2. An investigation of the differences between (usually) more than two group means, for a sample measure of an attribute (variable) is called
a. total variation
b. variation between groups
c. variation within groups
d. ANOVA
3. ANOVA uses ___________ approach, to find significant differences in the group means for a variable.
a. z- statistic
b. t- statistic
c. p- statistic
d. f- statistic
e. All of the above
4. We can only run an ANOVA if the IV (grouping variable) is ___________ and DV (measured variable) on which to investigate the differences is ___________. Fill the blanks.
a. Categorical and Continuous
b. Continuous and Categorical
c. Categorical and Categorical
d. Continuous and Continuous
6. The ratio of what two numbers in the ANOVA tables gives you the F value?
a. 4 and 115
b. 12.327 and 106.464
c. 3.082 and .926
d. 119 and 115
7. What is the F value and corresponding p value in the ANOVA tables, in that order?
a. 3.329 and .013
b. 3.082 and .926
c. 12.327 and 106.464
d. 4 and 115
8. Looking at the F value and the corresponding p value in ANOVA table first, how would you interpret the result, without running the Post Hoc tests?
a. There are no significant differences among the spending groups on importance of prices
b. There is at least one significant difference between the groups on importance of prices
c. All groups are different from each other
d. None of the above
9. One of the meaningful explanation of ANOVA result, assuming scale of 1 to 5 for importance of prices in increasing order, on how group(s) is different is:
a. People who spend >$31 care a lot about prices
b. People who spend $11-$15 care less about prices
c. People who spend >31 care less about prices
10. A non-monotonic relationship between two variables is defined as:
a. One in which the researcher can define strength, direction and a general sense of association
b. One in which there is a linear association between variables
c. One in which the variables are associated in a general sense, but no direction or strength
d. One in which the variables have curvilinear relationship
11. Before determining if gender is associated with spending amount in a restaurant, we should first identify
a. Number of males and females in each spending category
b. Scaling assumptions
c. The sample mean for spending
d. How often people eat out
12. In Chi-square analysis, the "null hypothesis" would be:
a. An association between two nominally scaled variables
b. No association between two nominally scaled variables
c. An association between two ratio scaled variables
d. No association between two ratio scaled variables
13. In Chi-Square analysis, the theoretical frequencies that are derived from the hypothesis of no association between two variables are referred to as,
a. Observed frequencies
b. Row percentages
c. Expected frequencies
d. Column percentages
14. Karl Pearson Coefficient of correlation examines a relationship between two interval/ratio scaled variables to check if they share a linear relationship.
a. True
b. False
15. Which one of the following correlation coefficients signifies the strongest relationship?
a. +.25
b. -.47
c. -1.0
d. -.88
e. +.95