Applied Statistics Final
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
1. Which real-world scenario best demonstrates Measuring the relationship be-
the use of contingency table analysis? tween gender and voting prefer-
ence using survey data.
2. In a study of learning styles and favorite subjects, When testing if learning style and
which scenario justifies using a chi-squared test favorite subject are related
of independence on the contingency table?
3. A school nurse compares the proportions of stu- Whether allergy rates differ be-
dents with allergies among boys and girls using tween genders
a two-by-two table. What does this comparison
best help determine in practice?
4. Why might researchers use exact inference When sample sizes are very small.
methods, such as Fisher's exact test, instead of
chi-squared tests?
5. Why is it important to consider sample size To ensure the test can detect a
and power when planning a binomial proportion meaningful difference if one ex-
test? ists.
6. If a study finds that the odds ratio of developing The odds are three times higher
a condition after exposure to a risk factor is 3, for the exposed group compared
what does this mean? to the unexposed.
7. Why are correlated and clustered categorical They account for similarities within
data models important in practice? groups, such as students within
the same classroom, when analyz-
ing survey responses
8. When is it most appropriate to use Generalized When accounting for correlation
Estimating Equations (GEE) in research involving between responses from students
in the same classroom.
3/31/2026 3/31/2026 3/31/2026
, Applied Statistics Final
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
survey responses from students nested within
different classrooms?
9. Which statement best illustrates the real-life ap- Conditional models provide esti-
plication of marginal versus conditional models mates specific to each hospital,
when analyzing patient responses collected from while marginal models provide
different hospitals? population-average estimates.
10. What makes generalized linear models suitable They can model non-normal re-
for real-life research data? sponse variables with different
link functions
11. Which of the following is NOT a component of Random assignment of subjects
a generalized linear model when analyzing cat-
egorical data in psychology research?
12. Suppose you are using a statistical software to To ensure the model parameters
analyze the effect of a treatment. Why is it impor- are estimated reliably and identify
tant to understand the fitting algorithm of the convergence issues
generalized linear model?
13. When using a generalized linear model for bina- Predicting whether a patient will
ry data, which real-life scenario would be most respond to a treatment (yes/no)
appropriate?
14. Which real-life example is suitable for logistic re- Predicting whether a patient will
gression for binary outcomes? recover (yes/no) based on treat-
ment type and age
15. In real-life medical research, what does inference Testing if a predictor variable is
for logistic regression typically involve? significantly associated with the
binary outcome
16.
3/31/2026 3/31/2026 3/31/2026
, Applied Statistics Final
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
Which of the following best describes how to It indicates the change in odds ra-
interpret a logistic regression coefficient for a tio for the outcome per one-unit
predictor variable in a binary outcome model? increase of the predictor, holding
other variables constant.
17. Which scenario best uses multiple logistic re- Assessing how gender, age group,
gression in categorical data analysis? and education together predict
whether someone votes in an
election
18. Which scenario best demonstrates the use of Analyzing the number of acci-
loglinear models for count data? dents occurring at different inter-
sections based on time of day and
weather conditions
19. What is a primary goal when performing infer- Testing for independence or
ence for loglinear models in practice? interaction between categorical
variables
20. In the context of loglinear models, what is a prac- To identify the simplest model that
tical reason for model selection and comparison? adequately explains associations
in the data.
21. Why is model diagnostics important in logistic To ensure the model fits the data
regression for binary outcomes? well and to identify influential ob-
servations
22. When would you use multinomial or ordinal lo- When the outcome variable has
gistic regression? three or more categories (nomi-
nal or ordered), such as choosing
between bus, car, or bicycle for
commuting.
3/31/2026 3/31/2026 3/31/2026
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
1. Which real-world scenario best demonstrates Measuring the relationship be-
the use of contingency table analysis? tween gender and voting prefer-
ence using survey data.
2. In a study of learning styles and favorite subjects, When testing if learning style and
which scenario justifies using a chi-squared test favorite subject are related
of independence on the contingency table?
3. A school nurse compares the proportions of stu- Whether allergy rates differ be-
dents with allergies among boys and girls using tween genders
a two-by-two table. What does this comparison
best help determine in practice?
4. Why might researchers use exact inference When sample sizes are very small.
methods, such as Fisher's exact test, instead of
chi-squared tests?
5. Why is it important to consider sample size To ensure the test can detect a
and power when planning a binomial proportion meaningful difference if one ex-
test? ists.
6. If a study finds that the odds ratio of developing The odds are three times higher
a condition after exposure to a risk factor is 3, for the exposed group compared
what does this mean? to the unexposed.
7. Why are correlated and clustered categorical They account for similarities within
data models important in practice? groups, such as students within
the same classroom, when analyz-
ing survey responses
8. When is it most appropriate to use Generalized When accounting for correlation
Estimating Equations (GEE) in research involving between responses from students
in the same classroom.
3/31/2026 3/31/2026 3/31/2026
, Applied Statistics Final
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
survey responses from students nested within
different classrooms?
9. Which statement best illustrates the real-life ap- Conditional models provide esti-
plication of marginal versus conditional models mates specific to each hospital,
when analyzing patient responses collected from while marginal models provide
different hospitals? population-average estimates.
10. What makes generalized linear models suitable They can model non-normal re-
for real-life research data? sponse variables with different
link functions
11. Which of the following is NOT a component of Random assignment of subjects
a generalized linear model when analyzing cat-
egorical data in psychology research?
12. Suppose you are using a statistical software to To ensure the model parameters
analyze the effect of a treatment. Why is it impor- are estimated reliably and identify
tant to understand the fitting algorithm of the convergence issues
generalized linear model?
13. When using a generalized linear model for bina- Predicting whether a patient will
ry data, which real-life scenario would be most respond to a treatment (yes/no)
appropriate?
14. Which real-life example is suitable for logistic re- Predicting whether a patient will
gression for binary outcomes? recover (yes/no) based on treat-
ment type and age
15. In real-life medical research, what does inference Testing if a predictor variable is
for logistic regression typically involve? significantly associated with the
binary outcome
16.
3/31/2026 3/31/2026 3/31/2026
, Applied Statistics Final
(Applied Statistics Final Exam,
Exam, MCQ:MCQ
2026 for quick study and exam preparation)
Study online at https://quizlet.com/_igek0x
Which of the following best describes how to It indicates the change in odds ra-
interpret a logistic regression coefficient for a tio for the outcome per one-unit
predictor variable in a binary outcome model? increase of the predictor, holding
other variables constant.
17. Which scenario best uses multiple logistic re- Assessing how gender, age group,
gression in categorical data analysis? and education together predict
whether someone votes in an
election
18. Which scenario best demonstrates the use of Analyzing the number of acci-
loglinear models for count data? dents occurring at different inter-
sections based on time of day and
weather conditions
19. What is a primary goal when performing infer- Testing for independence or
ence for loglinear models in practice? interaction between categorical
variables
20. In the context of loglinear models, what is a prac- To identify the simplest model that
tical reason for model selection and comparison? adequately explains associations
in the data.
21. Why is model diagnostics important in logistic To ensure the model fits the data
regression for binary outcomes? well and to identify influential ob-
servations
22. When would you use multinomial or ordinal lo- When the outcome variable has
gistic regression? three or more categories (nomi-
nal or ordered), such as choosing
between bus, car, or bicycle for
commuting.
3/31/2026 3/31/2026 3/31/2026
