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Frances conducted an informal survey among the women living in her sorority house. One of the questions asked, "How many drinks do you have per week?" Frances found that the results for this question were negatively skewed. What does this mean?

Almost nobody in the house drinks a lot.
The women probably lied.
Most women in the house drink a lot, but a few don't drink at all.
Most women in the house only drink a little, but a few drink a lot.

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Answer: Most women in the house drink a lot, but a few don't drink at all.

Explanation:

In statistics, skewness is a way to measure the asymmetry in a probability distribution of a random variable about its mean. As a result, skewness can be positive, negative, or undefined.

A negative skew, also known as left-skewed, usually means that the tail is on the left side of the distribution, meaning that more values are found on the right side of the distribution graph, and the left tail is longer.

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