MKT 343 EXAM 2 QUESTIONS AND ANSWERS
Which of the following types of ANOVA are we using in this class? - Answers - One
Way Between Subjects
The difference between ANOVA and an Indepedent Samples t Test is that ANOVA can
handle comparing more than 2 groups while t Tests can only look at differences
between two groups. (T/F) - Answers - True
Which of the following is true if the ANOVA is not significant? - Answers - You stop
running your analysis and determine that you cannot reject the null hypothesis.
If you use the ANOVA test to determine if differences among groups exist and find a
significant result, you then have to use independent sample t-test procedures to see
where those differences are. (T/F) - Answers - True
A significant ANOVA result always means that all groups in the analysis are different
from each other. (T/F) - Answers - False
Which of the following represent possible "generic" hypotheses related to ANOVA? -
Answers - Null hypothesis: Mean 1 = Mean 2 = Mean 3 = Mean 4
Ha: At least one mean is different from the other means
Ho: All means are equal
If you have a significant ANOVA, you do not have to run every pairwise comparison
between groups to determine which groups are different from each other. (T/F) -
Answers - False
Correlation indicates causality in the relationship between two variables (i.e., A causes
B, etc.). (T/F) - Answers - False
Correlation measures whether or not variables "move" together or not (i.e., a
relationship exists between the variables) (T/F) - Answers - True
If the p-value in the correlation table is less than or equal 0.05, this result means that no
relationship exists between variables. (T/F) - Answers - False
If you find significant results in a correlation, which of the following should you report? -
Answers - Valence (pos/neg), Significant, Effect Size (small/med/large)
Correlation only requires two interval or ratio variables. (T/F) - Answers - True
Which of the following types of ANOVA are we using in this class? - Answers - One
Way Between Subjects
The difference between ANOVA and an Indepedent Samples t Test is that ANOVA can
handle comparing more than 2 groups while t Tests can only look at differences
between two groups. (T/F) - Answers - True
Which of the following is true if the ANOVA is not significant? - Answers - You stop
running your analysis and determine that you cannot reject the null hypothesis.
If you use the ANOVA test to determine if differences among groups exist and find a
significant result, you then have to use independent sample t-test procedures to see
where those differences are. (T/F) - Answers - True
A significant ANOVA result always means that all groups in the analysis are different
from each other. (T/F) - Answers - False
Which of the following represent possible "generic" hypotheses related to ANOVA? -
Answers - Null hypothesis: Mean 1 = Mean 2 = Mean 3 = Mean 4
Ha: At least one mean is different from the other means
Ho: All means are equal
If you have a significant ANOVA, you do not have to run every pairwise comparison
between groups to determine which groups are different from each other. (T/F) -
Answers - False
Correlation indicates causality in the relationship between two variables (i.e., A causes
B, etc.). (T/F) - Answers - False
Correlation measures whether or not variables "move" together or not (i.e., a
relationship exists between the variables) (T/F) - Answers - True
If the p-value in the correlation table is less than or equal 0.05, this result means that no
relationship exists between variables. (T/F) - Answers - False
If you find significant results in a correlation, which of the following should you report? -
Answers - Valence (pos/neg), Significant, Effect Size (small/med/large)
Correlation only requires two interval or ratio variables. (T/F) - Answers - True
