When conducting a statistical test, a single outlier can:
A)make the test more robust to violations of the assumption of normality
B)reduce the sample's variance, making significant results easier to achieve
C)lead to a significant result when the other numbers, considered without the outlier, would not have led to a significant result
D)improve the reliability of the statistical procedure

Question

Quizplus · Accepted Answer

A single outlier can significantly affect the mean and standard deviation of a sample, potentially leading to a significant result when the other numbers, considered without the outlier, would not have led to a significant result. Therefore, option C is the best choice. The other options are not accurate as an outlier can make the test less robust, increase the variance, and reduce the reliability of the statistical procedure.

When Conducting a Statistical Test, a Single Outlier Can