WGU C207 DATA-DRIVEN DECISION-
MAKING COMPREHENSIVE EXAM
PREP QUESTIONS AND ANSWERS
1. A researcher wants to compare the average test scores of students across four different
teaching methods. Which statistical test is most appropriate?
A. Independent Samples T-test
B. One-way ANOVA
C. Chi-Square Test of Independence
D. Simple Linear Regression
Answer: B
Conceptual Explanation: One-way ANOVA is used to compare the means of three or more
independent groups to see if at least one is significantly different.
2. When a distribution is highly positively skewed, which measure of central tendency is
generally the highest?
A. Mode
B. Median
C. Mean
,D. Standard Deviation
Answer: C
Conceptual Explanation: In a positively skewed distribution, the mean is pulled toward
the long tail on the right, making it higher than the median and mode.
3. Which level of measurement allows for a true zero point, representing the absence of the
characteristic being measured?
A. Ratio
B. Ordinal
C. Interval
D. Nominal
Answer: A
Conceptual Explanation: Ratio data has all the properties of interval data plus a true zero
point, allowing for statements about proportions (e.g., twice as much).
4. In hypothesis testing, what does a Type II error represent?
A. Failing to reject the null hypothesis when it is false
B. Rejecting the null hypothesis when it is true
C. Rejecting the alternative hypothesis when it is true
D. Accepting the null hypothesis when it is true
, Answer: A
Conceptual Explanation: A Type II error (beta) occurs when the researcher fails to reject
a false null hypothesis, meaning a real effect or difference was missed.
5. Which of the following describes the relationship between the sample size and the
standard error of the mean?
A. As sample size increases, standard error increases
B. Sample size has no effect on standard error
C. As sample size increases, standard error decreases
D. Standard error is always half of the sample size
Answer: C
Conceptual Explanation: The standard error is calculated as the standard deviation
divided by the square root of the sample size; thus, larger samples reduce the standard
error.
6. A correlation coefficient of r = -0.85 indicates what kind of relationship?
A. Strong positive linear relationship
B. Weak negative linear relationship
C. Strong negative linear relationship
D. No linear relationship
Answer: C
MAKING COMPREHENSIVE EXAM
PREP QUESTIONS AND ANSWERS
1. A researcher wants to compare the average test scores of students across four different
teaching methods. Which statistical test is most appropriate?
A. Independent Samples T-test
B. One-way ANOVA
C. Chi-Square Test of Independence
D. Simple Linear Regression
Answer: B
Conceptual Explanation: One-way ANOVA is used to compare the means of three or more
independent groups to see if at least one is significantly different.
2. When a distribution is highly positively skewed, which measure of central tendency is
generally the highest?
A. Mode
B. Median
C. Mean
,D. Standard Deviation
Answer: C
Conceptual Explanation: In a positively skewed distribution, the mean is pulled toward
the long tail on the right, making it higher than the median and mode.
3. Which level of measurement allows for a true zero point, representing the absence of the
characteristic being measured?
A. Ratio
B. Ordinal
C. Interval
D. Nominal
Answer: A
Conceptual Explanation: Ratio data has all the properties of interval data plus a true zero
point, allowing for statements about proportions (e.g., twice as much).
4. In hypothesis testing, what does a Type II error represent?
A. Failing to reject the null hypothesis when it is false
B. Rejecting the null hypothesis when it is true
C. Rejecting the alternative hypothesis when it is true
D. Accepting the null hypothesis when it is true
, Answer: A
Conceptual Explanation: A Type II error (beta) occurs when the researcher fails to reject
a false null hypothesis, meaning a real effect or difference was missed.
5. Which of the following describes the relationship between the sample size and the
standard error of the mean?
A. As sample size increases, standard error increases
B. Sample size has no effect on standard error
C. As sample size increases, standard error decreases
D. Standard error is always half of the sample size
Answer: C
Conceptual Explanation: The standard error is calculated as the standard deviation
divided by the square root of the sample size; thus, larger samples reduce the standard
error.
6. A correlation coefficient of r = -0.85 indicates what kind of relationship?
A. Strong positive linear relationship
B. Weak negative linear relationship
C. Strong negative linear relationship
D. No linear relationship
Answer: C
