Deck 13: Parametric Data Analysis

Question 1

Which of the following statements is false?

A) Parametric tests on a data set for a study, among other tests, assess central tendency and variability.
B) Parametric tests on a data set for a study do not assume that collected data follow a normal distribution.
C) Parametric tests on a data set for a study are frequently used in public health.
D) Parametric tests on a data set for a study provide clues to the distribution of the data.

Answer 1

B

Question 2

What does the overlapping of two confidence intervals depict?

A) The two means for the intervals are significantly different.
B) Interpretation depends on the magnitude of overlap.
C) The two means are not different.
D) Nothing

Answer 2

B

Question 3

What is your main goal when conducting an independent group t-test?

A) Identifying significant health behaviors related to an occurrence
B) Establishing a mean for health-related incidence
C) Identifying what grouping variable provides a different mean
D) All of these are correct.

Answer 3

C

Question 4

A t-test formula uses __________ to compare the difference in scores between two groups.

A) means
B) variance
C) t-values
D) P-values

Question 5

The importance of variance relies on its ability to show how well one variable can predict another.

Question 6

If you were to find little variability in your data values, which of these is most likely false?

A) You found a constant.
B) You would be unable to establish a correlation.
C) The variable you're testing cannot identify a health behavior.
D) Your test population parameters are too restrictive.

Question 7

If you were creating a bivariate data chart, a scattergram perhaps, and you began to notice an ascending pattern of points with r = 0.35, what couldn't you assume?

A) You've explained 0.35 or about 35% of the variance.
B) You've established a positive correlation between two variables.
C) You have a good correlation coefficient score.
D) All of these are correct.

Question 8

Multiple linear regression addresses what problem?

A) Type I errors
B) Type II errors
D) Collinearity between different values
D) None of these is correct.

Question 9

If you were part of a study and conducted a t-test on three different groups to assess differences in values, what is a risk involved in your analysis?

A) Falsely accepting the null hypothesis
B) Falsely rejecting the null hypothesis
C) Decreasing the alpha value
D) Having to run more tests

Question 10

Why is a post-hoc test necessary if you've used a one-way ANOVA to avoid the problem of multiple comparisons?

A) Accounting for their respective standard deviations increased the alpha level.
B) In the case of a significant F value, you were unsure of how the three groups differed.
C) It was necessary to set a new error rate for each individual t-test.
D) All these are correct.