WGU D236 QUANTITATIVE ANALYSIS
FOR BUSINESS PRACTICE EXAM
1. A researcher classifies data by gender (Male, Female, Non-binary). What is the level of
measurement for this data?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: A
Conceptual Explanation: Nominal data involves categories that do not have a natural
order or numerical value.
2. In a right-skewed (positively skewed) distribution, which of the following is typically true?
A. Mode < Median < Mean
B. Mean = Median = Mode
C. Mean < Median < Mode
,D. Median < Mode < Mean
Answer: A
Conceptual Explanation: In a right-skewed distribution, the tail is on the right, pulling the
mean to be higher than the median and mode.
3. Which measure of central tendency is most sensitive to extreme outliers?
A. Mean
B. Mode
C. Median
D. Interquartile Range
Answer: A
Conceptual Explanation: The mean is calculated using every data point; therefore, a single
extreme value can significantly change the result.
4. If the variance of a dataset is 25, what is the standard deviation?
A. 625
B. 12.5
C. 5
D. 50
Answer: C
, Conceptual Explanation: Standard deviation is the square root of the variance. The square
root of 25 is 5.
5. A Z-score of -2.0 indicates that a data point is:
A. Two units below the mean
B. Twice the value of the median
C. Two standard deviations above the mean
D. Two standard deviations below the mean
Answer: D
Conceptual Explanation: Z-scores measure the number of standard deviations a data
point is from the mean; a negative sign indicates it is below the mean.
6. Which theorem states that as the sample size increases, the sampling distribution of the
mean approaches a normal distribution?
A. Law of Large Numbers
B. Bayes’ Theorem
C. Pythagorean Theorem
D. Central Limit Theorem
Answer: D
Conceptual Explanation: The Central Limit Theorem (CLT) is fundamental to inferential
statistics, allowing the assumption of normality for large samples.
FOR BUSINESS PRACTICE EXAM
1. A researcher classifies data by gender (Male, Female, Non-binary). What is the level of
measurement for this data?
A. Nominal
B. Ordinal
C. Interval
D. Ratio
Answer: A
Conceptual Explanation: Nominal data involves categories that do not have a natural
order or numerical value.
2. In a right-skewed (positively skewed) distribution, which of the following is typically true?
A. Mode < Median < Mean
B. Mean = Median = Mode
C. Mean < Median < Mode
,D. Median < Mode < Mean
Answer: A
Conceptual Explanation: In a right-skewed distribution, the tail is on the right, pulling the
mean to be higher than the median and mode.
3. Which measure of central tendency is most sensitive to extreme outliers?
A. Mean
B. Mode
C. Median
D. Interquartile Range
Answer: A
Conceptual Explanation: The mean is calculated using every data point; therefore, a single
extreme value can significantly change the result.
4. If the variance of a dataset is 25, what is the standard deviation?
A. 625
B. 12.5
C. 5
D. 50
Answer: C
, Conceptual Explanation: Standard deviation is the square root of the variance. The square
root of 25 is 5.
5. A Z-score of -2.0 indicates that a data point is:
A. Two units below the mean
B. Twice the value of the median
C. Two standard deviations above the mean
D. Two standard deviations below the mean
Answer: D
Conceptual Explanation: Z-scores measure the number of standard deviations a data
point is from the mean; a negative sign indicates it is below the mean.
6. Which theorem states that as the sample size increases, the sampling distribution of the
mean approaches a normal distribution?
A. Law of Large Numbers
B. Bayes’ Theorem
C. Pythagorean Theorem
D. Central Limit Theorem
Answer: D
Conceptual Explanation: The Central Limit Theorem (CLT) is fundamental to inferential
statistics, allowing the assumption of normality for large samples.
