Question 1

Box 5.3. teaches readers to calculate a Percentage Difference without a reference group and:
A) The authors recommend that this approach be used
B) The authors recommend that the calculations for a percentage difference with a reference group be used
C) The "answers" rendered do not change by using or not using a reference group
D) The authors stated that a reference group should never be used because it can support tribalism

Accepted Answer

The authors recommend using calculations for a percentage difference with a reference group for more accurate and meaningful comparisons.

Question 2

Which statements below are true:
A) Univariate analysis and bivariate analysis are synonymous
B) Clinical significance and statistical significance are synonymous
C) Clinical significance and practical significance are synonymous
D) Based upon what you learned in Chapter 1, data differences are significant as long as the p-value is p>.10
E) A chi-square and t-test are both used to determine whether means of two different groups or subgroups are equal

Accepted Answer

Clinical significance and practical significance both refer to the real-world importance or relevance of a finding, beyond just statistical significance.

Question 3

Interpreting the data in Table 5.4., one would conclude that:
A) Latino, African American, and Asian youth were more likely to carry weapons in 2015
B) Native Americans, Multiple Race, and White American youth were more likely to carry a weapon in 2015.
C) More youth carried weapons in 2015 than did not carry weapons.
D) a and b
E) b and c
F) None of the above are correct
G) a, b and c are true

Accepted Answer

The answer of Interpreting the data in Table 5.4., one...

Question 4

Which type of data listed below are interval data.
A) A grade of excellent on a Discussion Question in an online course
B) A temperature of 99.3 in a baby
C) race/ethnicity
D) All of the above

Accepted Answer

Interval data are numerical and have meaningful intervals between measurements, such as temperature, where the difference between values is consistent and meaningful.

Question 5

The type of data determines the type of statistical analyses that can be applied.

Accepted Answer

The type of data (e.g., nominal, ordinal, interval, ratio) dictates which statistical methods are appropriate, as different analyses require different data properties.

Question 6

Which tests below are used to assess causation with nominal data?
A) Simple or multiple logistic regression
B) Discriminant analysis
C) Chi-square test
D) Fisher's exact test
E) a and b
F) b and c
G) c and d

Accepted Answer

The answer of Which tests below are used to assess...

Question 7

Which type of data listed below cannot be used to compare a mean?
A) Ratio data
B) Interval
C) Nominal
D) a and b
E) b and c
F) None of the above

Accepted Answer

Nominal data cannot be used to calculate or compare means because it represents categories without any inherent order or numerical value.

Question 8

Which tests below are used to assess significance but not causation for nominal data:
A) Chi-square
B) Fisher's Exact Test
C) Discriminant analysis
D) Paired and independent t-tests
E) a, b
F) None of the above

Accepted Answer

Chi-square and Fisher's Exact Test are used to assess the significance of relationships between nominal variables, but they do not establish causation.

Question 9

Correlation analysis is:
A) A way of analyzing causation
B) A method of assessing association
C) A measure of statistical significance only
D) A form of psychological analysis

Accepted Answer

Correlation analysis is a statistical method used to assess the strength and direction of the association between two variables.

Question 10

Path analysis is:
A) A form of regression
B) A form of ANOVA
C) A form of MANOVA
D) None of the above

Accepted Answer

The answer of Path analysis is:
A) A form of regression
B)...

Quiz 5: Simple Statistical Tools to Assess Health and Health Care Disparities

Box 5.3. teaches readers to calculate a Percentage Difference without a reference group and:

Which statements below are true:

Interpreting the data in Table 5.4., one would conclude that:

Which type of data listed below are interval data.

The type of data determines the type of statistical analyses that can be applied.

Which tests below are used to assess causation with nominal data?

Which type of data listed below cannot be used to compare a mean?

Which tests below are used to assess significance but not causation for nominal data:

Correlation analysis is:

Path analysis is: