Question 1

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?

Accepted Answer

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

Question 2

What does the overlapping of two confidence intervals depict?

Accepted Answer

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 
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 B

Question 3

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

Accepted Answer

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

Question 4

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?

Accepted Answer

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. 
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 5

Multiple linear regression addresses what problem?

Accepted Answer

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

Question 6

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

Accepted Answer

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. 
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.

Question 7

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

Accepted Answer

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. 
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.

Question 8

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

Accepted Answer

A) True 
 B)False

Question 9

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

Accepted Answer

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. 
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 10

Which of the following statements is false?

Accepted Answer

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. 
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.

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?

What does the overlapping of two confidence intervals depict?

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

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?

Multiple linear regression addresses what problem?

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

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

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

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

Which of the following statements is false?

Shaping Public Health Through Research and Practice

Framing the Research Question

Ethical Standards and Practice for Public Health Research

Community-Based Participatory Research

Qualitative Research Methods for Public Health

Observational Research Designs

Experimental Research Designs

Quasi-Experimental Designs for Public Health

Defining the Study Population

Sampling Techniques

Measurement

Data Management and Cleaning

Non-Parametric Data Analysis

Disseminating Findings and Informing New Research

Filters

Exam 13: Parametric Data Analysis

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?

What does the overlapping of two confidence intervals depict?

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

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?

Multiple linear regression addresses what problem?

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

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

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

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

Which of the following statements is false?

Shaping Public Health Through Research and Practice

Framing the Research Question

Ethical Standards and Practice for Public Health Research

Community-Based Participatory Research

Qualitative Research Methods for Public Health

Observational Research Designs

Experimental Research Designs

Quasi-Experimental Designs for Public Health

Defining the Study Population

Sampling Techniques

Measurement

Data Management and Cleaning

Non-Parametric Data Analysis

Disseminating Findings and Informing New Research

Filters