14 ST Quantitative Statistical Analysis Flashcards
- Tucker tested the difference in the proportion of smokers versus nonsmokers who had ever tried an illegal drug.
A t-Test or ANOVA
B Chi-squared test
C Pearson’s r
ANSWER: B Chi-squared test
A chi-squared test would be used to test differences in proportions between the two groups on a nominal-level variable, ever used versus never used an illegal drug.
- Chase tested the difference in the mean birth weights of infants whose mothers either had or had not participated in a special prenatal education program.
A t-Test or ANOVA
B Chi-squared test
C Pearson’s r
ANSWER: A t-Test or ANOVA
A t-test would be used to test differences in the means between the two groups of mothers on a ratio-level variable, birth weight.
- Powjanowski tested the significance of the relationship between scores on a functional ability scale and a cognitive performance scale in nursing home residents.
A t-Test or ANOVA
B Chi-squared test
C Pearson’s r
ANSWER: C Pearson’s r
A correlation coefficient (r ) would be used to test the relationship between two interval-level variables, scores on two tests.
- Hutchings compared mean preoperative anxiety levels in three groups of patients with different types of cancer.
A t-Test or ANOVA
B Chi-squared test
C Pearson’s r
ANSWER: A t-Test or ANOVA
ANOVA would be used to test differences in the means of the three groups of patients on a variable measured on an interval-level scale, anxiety scores
- Messina compared the percentage of patients who had a fall in two hospital units, one of which had implemented a new patient safety protocol.
A t-Test or ANOVA
B Chi-squared test
C Pearson’s r
ANSWER: B Chi-squared test
Chi-squared tests would be used to test differences in proportions between the two units on a nominal-level variable, patients who fell versus did not fall.
