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Wgu C955 Module 4 Descriptive Statistics For A Single Variable Exam Questions And Correct Answers With Rationales 2026| Instant Download

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This study document gives you 9 exam-style questions on descriptive statistics for a single variable, matching the WGU C955 Module 4 exam. Each question includes a clear rationale so you understand the reasoning behind the correct answer. Topics cover measures of central tendency and dispersion, distribution shape, outliers, transformations, graphical displays, and z-scores. Use it to practice and spot question patterns before exam day.

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WGU C955 - MODULE 4: DESCRIPTIVE STATISTICS
FOR A SINGLE VARIABLE EXAM 2026/2027 LATEST
QUESTIONS AND VERIFIED ANSWERS A+ GRADE
9 QUESTIONS


TABLE OF CONTENTS

# TOPIC

1 Compute and interpret measures of central tendency and dispersion for univariate data

2 Analyze distribution shape, outliers, and the effects of transformations on summary statistics

3 Evaluate graphical displays and standardized scores to draw valid statistical conclusions

4 WGU C955

5 Module 4

6 Descriptive Statistics for a Single Variable Exam 2026

7 2027 Latest Questions And Verified Answers A+ Grade

8 Foundations of Descriptive Statistics for a Single Variable

9 Applied Descriptive Statistics for a Single Variable


ABSTRACT

This study document brings together 9 carefully worded exam questions drawn from WGU C955 -
Module 4: Descriptive Statistics for a Single Variable Exam 2026/2027 Latest Questions And
Verified Answers A+ Grade, with the strongest emphasis placed on Compute and interpret
measures of central tendency and dispersion for univariate data, Analyze distribution shape,
outliers, and the effects of transformations on summary statistics and Evaluate graphical displays
and standardized scores to draw valid statistical conclusions. Every item follows the wording style
and level of reasoning you meet in the real paper, and each one is paired with a clear rationale so
the correct choice is never a guess. Work through the set at your own pace, mark the questions
that slow you down, then come back to them until the reasoning feels automatic. Learners who
revise this way walk into the exam room recognising the pattern behind the questions instead of
meeting them for the first time. Keep going - steady, honest practice is what turns a difficult paper
into a comfortable pass.




Page 1

, Q1 COMPUTE AND INTERPRET MEASURES OF CENTRAL TENDENCY AND DISPERSION FOR
UNIVARIATE DATA
A data set has a mean of 50, median of 40, and standard deviation of 10. If every
value is multiplied by 3 and then 5 is added, what are the new mean, median, and
standard deviation?
A. Mean = 155, Median = 125, SD = 30 CORRECT

B. Mean = 155, Median = 125, SD = 35

C. Mean = 155, Median = 125, SD = 90

D. Mean = 150, Median = 120, SD = 30

RATIONALE: Multiplying by 3 and adding 5 transforms the mean and median linearly: new mean
= 3(50)+5 = 155, new median = 3(40)+5 = 125. The standard deviation is affected only by
multiplication: new SD = 3(10) = 30. Adding a constant does not change spread, so options B
and C incorrectly alter SD, and D fails to add the constant.




Q2 ANALYZE DISTRIBUTION SHAPE, OUTLIERS, AND THE EFFECTS OF
TRANSFORMATIONS ON SUMMARY STATISTICS
Which statement accurately describes the relationship between the interquartile
range (IQR) and the presence of outliers in a skewed distribution?
A. The IQR is resistant to outliers, so it remains stable even when extreme values are present,
making it a preferred measure of spread for skewed data. CORRECT

B. The IQR is highly sensitive to outliers because it includes the extreme 25% of values on each
end.

C. The IQR can only be used for symmetric distributions; for skewed data, the standard deviation
is always preferred.

D. The IQR is calculated as the difference between the maximum and minimum values, so it
directly reflects outliers.

RATIONALE: The IQR is based on the middle 50% of data (Q3-Q1) and is resistant to extreme
values, making it robust for skewed distributions. Option B is false because the IQR excludes the
tails. Option C is incorrect because the IQR is specifically recommended for skewed data. Option
D confuses IQR with range.




Page 2

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Uploaded on
October 8, 2026
Number of pages
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Written in
2026/2027
Type
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