which of the following is true about outliers? a. they can affect the strength, but not the direction, of an association. b. they have the biggest effect when dealing with small sample sizes. c. they usually affect a majority of the data points. d. they are only problematic when they affect one variable and not the other.



Answer :

Since an outlier will have an effect when dealing with small sample sizes the true statement is option b. They have the biggest effect when dealing with small sample sizes.

An outlier

In Mathematics, an outlier is a value of a set of data that is quite different from the other values. In simple terms, outliers are values that are far from the middle.

Outliers have a significant impact on the mean, but not on the median or mode. Remember There is no such rule that determines the outliers of data, these are extreme values of data.

Example:

1) 15, 16, 20, 26, 30, 31, 35, 42, 45, 150, 200  

In the given data, 150 and 200 are different from other values

An outlier of given data is 150 and 200

These are the points that lie outside the entire distribution. These outliers are shown as dots.  

 

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