WGU D 514: TOPIC 1 Comprehensive Resource To Help You Ace 2026-2027 Includes Frequently
Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
A statistical test used to compare the means of two or more
groups.
A group of psychiatric patients are trying THREE ditterent
ANOVA Test therapies: counseling, medication and biofeedback. You
want to see if one therapy is better than the others.
Tests for ditterences between the means of groups based
on ONE INDEPENDENT VARIABLE. Example- Teaching
methods.
One-Way ANOVA It might be used to see if ditterent teaching methods lead
to ditterent average exam scores.
Imagine a study investigating the ettectiveness of three
ditterent teaching methods (lecture, workshop, and online
learning) on student exam scores.
A one-way ANOVA could be used to determine if there is a
Example of One-way ANOVA significant ditterence in the average exam scores between
the three teaching methods.
Examines the ditterence based on TWO-INDEPENDENT
Two-way ANOVA
VARIABLES
In a study looking at the impact of both teaching method
(lecture, workshop, online) and class size (small, medium,
large) on exam scores, a two-way ANOVA would be appro-
Two-way ANOVA Example priate. This would allow researchers to examine if there are
main ettects for each factor (teaching method and class
size) and also if there is an interaction ettect between the
two factors.
One-way ANOVA = CONSIDERS HOW ONE VARIABLE AF-
One-way ANOVA vs. Two-way ANOVA FECTS A RESULT
, WGU D 514: TOPIC 1 Comprehensive Resource To Help You Ace 2026-2027 Includes Frequently
Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
Two-way ANOVA = CONSIDERS HOW TWO VARIABLES
WORK TOGETHER TO INFLUENCE THE RESULT
Determines if an association exists between two CATE-
GORICAL variables.
Chi-Square Test
Compares values you observe to be expected.
Do men or women call out sick more to work?
Chi-Square Example
Variables = male and female. Expected value compared to
observed value.
A statement that there is NO EFFECT or relationship be-
Null hypothesis
tween variables.
Helps determine whether the observed relationship is
likely due to chance or real association.
If the p-value is BELOW 0.05, the null hypothesis is reject-
P-Value
ed- suggesting a statistically significant relationship.
If the p-value is GREATER than 0.05, the null hypothesis
should NOT be rejected.
In a healthcare setting, this group of patients DO NOT
Control group
receive the treatment being studied.
This group of patients DO RECIEVE the treatment being
Experimental group studied and with follow-up observation to determine the
ettect of the treatment.
Tests if two population variances are equal. The ratio of the
F-Test two variances is compared. If they are equal, the ratio of
the variances will be 1.
F- Test Example
Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
A statistical test used to compare the means of two or more
groups.
A group of psychiatric patients are trying THREE ditterent
ANOVA Test therapies: counseling, medication and biofeedback. You
want to see if one therapy is better than the others.
Tests for ditterences between the means of groups based
on ONE INDEPENDENT VARIABLE. Example- Teaching
methods.
One-Way ANOVA It might be used to see if ditterent teaching methods lead
to ditterent average exam scores.
Imagine a study investigating the ettectiveness of three
ditterent teaching methods (lecture, workshop, and online
learning) on student exam scores.
A one-way ANOVA could be used to determine if there is a
Example of One-way ANOVA significant ditterence in the average exam scores between
the three teaching methods.
Examines the ditterence based on TWO-INDEPENDENT
Two-way ANOVA
VARIABLES
In a study looking at the impact of both teaching method
(lecture, workshop, online) and class size (small, medium,
large) on exam scores, a two-way ANOVA would be appro-
Two-way ANOVA Example priate. This would allow researchers to examine if there are
main ettects for each factor (teaching method and class
size) and also if there is an interaction ettect between the
two factors.
One-way ANOVA = CONSIDERS HOW ONE VARIABLE AF-
One-way ANOVA vs. Two-way ANOVA FECTS A RESULT
, WGU D 514: TOPIC 1 Comprehensive Resource To Help You Ace 2026-2027 Includes Frequently
Tested Questions With ELABORATED 100% Correct COMPLETE SOLUTIONS
Guaranteed Pass First Attempt!! Current Update!!
Two-way ANOVA = CONSIDERS HOW TWO VARIABLES
WORK TOGETHER TO INFLUENCE THE RESULT
Determines if an association exists between two CATE-
GORICAL variables.
Chi-Square Test
Compares values you observe to be expected.
Do men or women call out sick more to work?
Chi-Square Example
Variables = male and female. Expected value compared to
observed value.
A statement that there is NO EFFECT or relationship be-
Null hypothesis
tween variables.
Helps determine whether the observed relationship is
likely due to chance or real association.
If the p-value is BELOW 0.05, the null hypothesis is reject-
P-Value
ed- suggesting a statistically significant relationship.
If the p-value is GREATER than 0.05, the null hypothesis
should NOT be rejected.
In a healthcare setting, this group of patients DO NOT
Control group
receive the treatment being studied.
This group of patients DO RECIEVE the treatment being
Experimental group studied and with follow-up observation to determine the
ettect of the treatment.
Tests if two population variances are equal. The ratio of the
F-Test two variances is compared. If they are equal, the ratio of
the variances will be 1.
F- Test Example
