HS 4510 Biostatistics 2025/2026 Well Answered
Questions and Highly Recommended
(ORIGINAL Exam) A+ Graded University of
People
A chi-square test that investigated the above associations (in Q2) found a chi-square
statistic of 16.87. Based on the degrees of freedom and the chi-square critical value in
chi-square statistical distribution table, will you reject or accept the null hypothesis?
a.Accept the null hypothesis
b.Reject the null hypothesis
c.Conclude that there are no social class differences between males and females
d.Conclude that there are social class differences between males and females
e.b and d
e. b and d
Choose the incorrect statement:
a.A multivariable analysis investigates a given outcome while accounting for multiple
factors
b.A multivariable analysis reduces risk of confounding by factors accounted for
c.Residual confounding is negligible in a multivariable analysis
,d.The choice of the correct multivariable regression highly depends on the investigated
outcome
c. Residual confounding is negligible in a multivariable analysis
Choose the incorrect statement:
a.Pearson r relates to a parametric test
b.Pearson r relates to a non-parametric test
c.Pearson r is neither parametric nor non-parametric
d.Pearson r compares the correlation of continuous variables
e.b, and c are incorrect
e. b, and c are incorrect
Choose the incorrect statement:
a.A residual plot shows whether the linear regression is the appropriate model for the
investigated data
b.The residual plot displaying a random pattern indicates that the linear regression
does not provide a good fit to the investigated data
c.The residual plot can have a zero value and can also include negative and positive
values
d.A residual plot displaying a random pattern indicates that the linear regression
provides a good fit to the investigated data
,b. The residual plot displaying a random pattern indicates that the linear regression
does not provide a good fit to the investigated data
The outcome you want to model is "level of satisfaction with health care services"
among elderly individuals residing in a nursing home. The "satisfaction" variable can
have the following values: 1=very satisfied; 2=satisfied; 3=not sure; 4=not satisfied;
5=totally not satisfied.Choose the most probable regression to be considered.
d. ordinal logistic
In a simple regression function (equation), the slope indicates:
d. The change in Y for a unit change in X
A multivariable regression cannot have more than one outcome although it can have
multiple covariates. State if true or false.
False
You have calculated a Pearson r for severity of illness and age. The result you got was
-1.23. Explain the finding.
d. There is an error in the calculation
If we cannot predict "Y" from "X", then we could conclude that Pearson r is equal to:
, b. 0.0
In selecting the correct multivariable regression, which of the following need to be
considered?
a.Dependence or independence of groups being compared
b.Distribution of outcome variable
c.The measurement scale of the investigated outcome
d.Relevance of regression to study objectives
e.All the above
e. All the above
To calculate the Pearson r, the two variables concerned need to be:
a. Random
The outcome you want to model is number of falls of elderly individuals residing in a
nursing home. Choose the most probable regression to be considered.
b. Poisson
Questions and Highly Recommended
(ORIGINAL Exam) A+ Graded University of
People
A chi-square test that investigated the above associations (in Q2) found a chi-square
statistic of 16.87. Based on the degrees of freedom and the chi-square critical value in
chi-square statistical distribution table, will you reject or accept the null hypothesis?
a.Accept the null hypothesis
b.Reject the null hypothesis
c.Conclude that there are no social class differences between males and females
d.Conclude that there are social class differences between males and females
e.b and d
e. b and d
Choose the incorrect statement:
a.A multivariable analysis investigates a given outcome while accounting for multiple
factors
b.A multivariable analysis reduces risk of confounding by factors accounted for
c.Residual confounding is negligible in a multivariable analysis
,d.The choice of the correct multivariable regression highly depends on the investigated
outcome
c. Residual confounding is negligible in a multivariable analysis
Choose the incorrect statement:
a.Pearson r relates to a parametric test
b.Pearson r relates to a non-parametric test
c.Pearson r is neither parametric nor non-parametric
d.Pearson r compares the correlation of continuous variables
e.b, and c are incorrect
e. b, and c are incorrect
Choose the incorrect statement:
a.A residual plot shows whether the linear regression is the appropriate model for the
investigated data
b.The residual plot displaying a random pattern indicates that the linear regression
does not provide a good fit to the investigated data
c.The residual plot can have a zero value and can also include negative and positive
values
d.A residual plot displaying a random pattern indicates that the linear regression
provides a good fit to the investigated data
,b. The residual plot displaying a random pattern indicates that the linear regression
does not provide a good fit to the investigated data
The outcome you want to model is "level of satisfaction with health care services"
among elderly individuals residing in a nursing home. The "satisfaction" variable can
have the following values: 1=very satisfied; 2=satisfied; 3=not sure; 4=not satisfied;
5=totally not satisfied.Choose the most probable regression to be considered.
d. ordinal logistic
In a simple regression function (equation), the slope indicates:
d. The change in Y for a unit change in X
A multivariable regression cannot have more than one outcome although it can have
multiple covariates. State if true or false.
False
You have calculated a Pearson r for severity of illness and age. The result you got was
-1.23. Explain the finding.
d. There is an error in the calculation
If we cannot predict "Y" from "X", then we could conclude that Pearson r is equal to:
, b. 0.0
In selecting the correct multivariable regression, which of the following need to be
considered?
a.Dependence or independence of groups being compared
b.Distribution of outcome variable
c.The measurement scale of the investigated outcome
d.Relevance of regression to study objectives
e.All the above
e. All the above
To calculate the Pearson r, the two variables concerned need to be:
a. Random
The outcome you want to model is number of falls of elderly individuals residing in a
nursing home. Choose the most probable regression to be considered.
b. Poisson
