1. A study reports an association between snowfall and school cancellation during the winter. The r=0.4, you know this means:
A. It’s significant
B. There is a weak positive correlation
C. There is a strong positive correlation
D. There is a moderate positive correlation
2. Research studies want to examine if there is an association between the amount of hair grease (mls) in the hair and the length of the hair (inches). You have a random sample of 75 participants . U select an alpha of 0.05 and a power of .80. Your p value is 0.034 and your r=2. Your p-value is 0.034 and r=.2, what should you decide to do.
A. Reject the null and state that it is a positive correlation.
B. Fail to reject the null and state that is a negative correlation
C. Reject the null and conclude that there is a real correlation
D. This information does not say anything
3. You are studying the relationship between smoking and hair loss. U find a positive moderate effect size. U conclude
A. There is a clinical significance
B. The correlation between smoking and hair loss is between -0.3 and -0.5.
C. The correlation between smoking and hair loss is between 0.3 and 0.5
D. This is a significant relationship
4. U are reading a study which reports a significant correlation (r) between smoking and coffee drinking of 0.8. U know this means.
A. When participants smoke more they only drank 75% of the coffee they were drinking
B. When the participants smoke their coffee drinking decreases by 75%
C. When participants smoke more they drink less coffee
D. When participants smoke more they drink more coffee
5. From a sample of 400 patients at your hospital, u would like to determine if there is an association between patient’s temperature and age. The most appropriate test would be
A. Chi-square
B. Repeat measures Anova
C. Spearman’s correlation coefficient
D. Persons correlation coefficient
6. A study examining the relationship between balance and risk of falls reports an r of -0.9. What percentage of the variance in falls is explained by difficulties with balance.
A. Unable to determine
B. 9%
C. 81%
D. 3%
7. As the number of hours of sleep decreases, the more a person drinks caffeinated beverages. This is an example of what type of correlation?
A. Positive correlation
B. Weak relationship
C. Strong correlation
D. Negative correlation
8. U find that the correlation of a study is 0.7 with a p value of 0.003. What should you do?
A. Collect a smaller sample
B. Reject the null
C. Publish the results before you do anything
D. Accept the null
9. Research studies want to examine if there is an association between the amount of hair grease (mls) in the hair and the length of hair in inches. You have a random sample of 75 participants. You select an alpha of 0.05 and a power of.80. Your p value is 0.034 and your r = .2. what is the measure of grease?
A. Ordinal
B. Interval
C. Nominal
D. Ratio
10. Research studies want to examine if there is an association between the amount of hair grease (mls) in the hair and the length of hair in inches. U have a random sample of 75 participants . You select an alpha of 0.05 and a power of .80. Your p value is 0.034 and your r = .2. From this scenario, what test should be conducted.
A. Anova
B. Chi square
C. Pearsons correlation coefficient
D. T-test
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