the mean of the sample . a. can never be zero b. is always smaller than the mean of the population from which the sample was taken c. is always larger than the mean of the population from which the sample was taken d. is affected by outliers



Answer :

The mean of the sample is affected by the outlier. The mean is non-resistant. That means, it's affected by outliers.

More specifically, the mean will want to move towards the outlier.

Say we have some information

1\s,2 \s, \s3 \s. This has a mean of 2 in it. However, if we include a 94-point outlier in the data set, the mean will change to 25. The mean shifted toward the outlier, as you can see.

The mean is the average of the numbers. It is easy to calculate: add up all the numbers, then divide by how many numbers there are. In other words it is the sum divided by the count.

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