Practice Skewness in Statistics

Use these practice problems to test your method after reviewing the concept explanation and worked examples.

Quick Recap

A measure of how asymmetric a probability distribution is around its mean — positive skew tails right, negative skew tails left.

A right-skewed distribution has a long tail to the right (a few very large values); left-skewed has a long tail to the left.

Showing a random 20 of 50 problems.

Example 1

easy
Is the sign of skewness determined by the direction of the tail or the side where most data sits?

Example 2

medium
A symmetric dataset has all its values negated (xi→−xi). The new skewness equals what?

Example 3

hard
Compute the sample skewness of the data {1,2,3,4,10}. Use skew=n(n−1)(n−2)∑ ⁣(xi−xˉs)3 and round to two decimals.

Example 4

easy
Does the sign of the skewness tell you the direction of the longer tail?

Example 5

medium
A distribution has skewness +0.9. Where does the longer tail point, and how do mean and median compare?

Example 6

medium
A dataset has mean 25, median 30, mode 35. Describe the skew using the order of mean, median, and mode.

Example 7

hard
Pearson's second skewness coefficient is Sk2=3(xˉ−median)s. A class has xˉ=72, median =78, s=6. Compute Sk2.

Example 8

medium
A right-skewed dataset has every value negated (xi→−xi). What kind of skew does the new dataset have?

Example 9

easy
Income data with a few billionaires typically has which skew?

Example 10

hard
A dataset of 100 salaries has skewness +3. A single $5M salary is removed. Most likely the new skewness is closer to which: +3, +1.5, or 0?

Example 11

challenge
An exponential distribution with rate λ has theoretical skewness 2. Why does this number not depend on λ?

Example 12

medium
Exam scores cluster near the top with a few low outliers. What skew, and how do mean and median compare?

Example 13

medium
A sample skewness is reported as −2.4. Briefly describe the shape.

Example 14

easy
A distribution with a long tail to the RIGHT has what type of skew?

Example 15

challenge
A researcher reports a sample skewness of +0.05 for n=20 observations and concludes the population is right-skewed. Why is this conclusion premature?

Example 16

easy
The skewness of a perfectly normal distribution equals what value?

Example 17

easy
A distribution with a long tail to the LEFT has what type of skew?

Example 18

easy
A histogram has a long thin tail stretching toward larger values on the right. What is its skew?

Example 19

medium
A data set has mean 60 and median 50. Describe its skew.

Example 20

hard
A teacher claims, 'My class scored higher than the median, so I'm above average.' If scores are strongly right-skewed, why is this reasoning suspect?