Which of the following statements is true?
A)If a data set is skewed to the right, that means there is bias in the results; the data are higher than they should be.
B)If a data set is skewed to the right, then the higher values are more spread out than the lower values.
C)If a data set is skewed to the right, then the lower values are more spread out than the higher values.
D)None of the above.

Question

Quizplus · Accepted Answer

Skewness refers to the asymmetry of a distribution. If a distribution is skewed to the right, it means that the tail on the right-hand side of the distribution is longer than the left-hand side. This means that there are some higher values that are farther away from the bulk of the data than the lower values. Therefore, the higher values are more spread out than the lower values. Choice A is incorrect because skewness does not necessarily imply bias. Choice C is incorrect because the opposite is true in a right-skewed distribution.

Which of the Following Statements Is True