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PHMR 701 Session 4

Authored by Anne Montgomery

Mathematics

University

Used 3+ times

PHMR 701 Session 4
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25 questions

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1.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which of the following is the least affected by outliers?

Range

Mean

Median

Standard Deviation

2.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Assuming the assumptions of parametric tests are met, non-parametric tests, compared to their parametric counterparts:

Are less likely to accept the alternative hypothesis

Are more conservative

Have less statistical power

Are all of these

3.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which of the following does a box–whisker plot not display?

Mean

Median

Outliers

Lower quartile

4.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

After a Kruskal-Wallis test indicates that there is a difference between three or more groups, what is the next step?

Analysis of Variance with Tukey's post hoc

Independent t-tests with Levene's correction

Mann-Whitney tests with Bonferroni correction

None of these

5.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

Which of the following statements about outliers is NOT true?

Outliers are values very different from the rest of the data

Influential cases will always show up as outliers

Outliers have an effect on the mean

Outliers have an effect on regression parameters

6.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

A researcher measured people’s physiological reactions (continuous) while lying about what their teacher said. She split the data into two groups: males and females. The resulting data were normally distributed and men and women had equal variances. What test should be used to analyze the data?

Dependent T-test

Independent T-test

Mann-Whitney test

Wilcoxon signed-rank test

7.

MULTIPLE CHOICE QUESTION

15 mins • 1 pt

We want to see if breast cancer mortality (Y/N) can be predicted by the predictors age (continuous), family history (Y/N), genetic risk score (continuous). Which test needs to be used?

Multiple Linear regression

Survival Analysis

Pearson Correlation

Binary Logistic Regression

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