MMC 3420 EXAM 1 UPDATED ACTUAL QUESTIONS AND
CORRECT ANSWERS
Question:
1. What is an independent variable?
Answer:
The variable you think is the CAUSE
Question:
2. What is a dependent variable?
Answer:
The variable that you think is effected by the I.V. The EFFECT
Question:
3. When do you pose a hypothesis instead of a Research Question?
Answer:
When previous data, theory, or research backs up your claim
Question:
4. What makes a good hypothesis?
Answer:
Clear, concise, testable (There are other qualities . . .)
Question:
5. What makes a hypothesis one-tailed instead of two-tailed?
Answer:
It predicts the direction of change in the D.V., based on the direction/category of the I.V.
Question:
6. What is a null hypothesis?
Answer:
The logical alternative to the hypothesis; What we submit to significance testing
Question:
7. Why do we do significance testing?
Answer:
To determine if the observed difference is, meaningful or due to the I.V. we've proposed
Question:
8. Do one or two tailed hypothesis testing offer a more forgiving, or easier to find significance type of test?
Answer:
Two-tailed, because you look for differences in any direction - the right (positive) and the left (negative)
Question:
9. What's the difference between a significant finding and finding with a large effect size?
, Answer:
Significant findings are real, beyond chance, effect size has to do with the strength or magnitude of that
Question:
10. Hypothesis Application
Answer:
H1: The amount of time students spend on social media is related to their GPA. H2: Female students spend
more time on social media than male students.
Question:
11. What is the independent variable?
Answer:
H1: Time spent on social media; H2: Gender
Question:
12. What is the dependent variable?
Answer:
H1: GPA H2: Time spent on social media
Question:
13. Is it a one or two tailed test?
Answer:
H1: Two-tailed H2: One-tailed
Question:
14. What is the null hypothesis?
Answer:
H1: Time spent on social media is unrelated to GPA, H2: Gender has no influence on time spent on social
media
Question:
15. If H2 is supported by the data, what do you do with the null hypothesis?
Answer:
Reject it
Question:
16. Which hypothesis' null hypothesis has a more conservative, or harder to reach criterion to reach
significance?
Answer:
H2
Question:
17. If significance testing reveals that there are significant differences as predicted, does that mean that
influence of the independent variable on the dependent variable is equal for both hypotheses?
Answer:
No, the associated effect size with each test would tell us that
CORRECT ANSWERS
Question:
1. What is an independent variable?
Answer:
The variable you think is the CAUSE
Question:
2. What is a dependent variable?
Answer:
The variable that you think is effected by the I.V. The EFFECT
Question:
3. When do you pose a hypothesis instead of a Research Question?
Answer:
When previous data, theory, or research backs up your claim
Question:
4. What makes a good hypothesis?
Answer:
Clear, concise, testable (There are other qualities . . .)
Question:
5. What makes a hypothesis one-tailed instead of two-tailed?
Answer:
It predicts the direction of change in the D.V., based on the direction/category of the I.V.
Question:
6. What is a null hypothesis?
Answer:
The logical alternative to the hypothesis; What we submit to significance testing
Question:
7. Why do we do significance testing?
Answer:
To determine if the observed difference is, meaningful or due to the I.V. we've proposed
Question:
8. Do one or two tailed hypothesis testing offer a more forgiving, or easier to find significance type of test?
Answer:
Two-tailed, because you look for differences in any direction - the right (positive) and the left (negative)
Question:
9. What's the difference between a significant finding and finding with a large effect size?
, Answer:
Significant findings are real, beyond chance, effect size has to do with the strength or magnitude of that
Question:
10. Hypothesis Application
Answer:
H1: The amount of time students spend on social media is related to their GPA. H2: Female students spend
more time on social media than male students.
Question:
11. What is the independent variable?
Answer:
H1: Time spent on social media; H2: Gender
Question:
12. What is the dependent variable?
Answer:
H1: GPA H2: Time spent on social media
Question:
13. Is it a one or two tailed test?
Answer:
H1: Two-tailed H2: One-tailed
Question:
14. What is the null hypothesis?
Answer:
H1: Time spent on social media is unrelated to GPA, H2: Gender has no influence on time spent on social
media
Question:
15. If H2 is supported by the data, what do you do with the null hypothesis?
Answer:
Reject it
Question:
16. Which hypothesis' null hypothesis has a more conservative, or harder to reach criterion to reach
significance?
Answer:
H2
Question:
17. If significance testing reveals that there are significant differences as predicted, does that mean that
influence of the independent variable on the dependent variable is equal for both hypotheses?
Answer:
No, the associated effect size with each test would tell us that