For skewed data displays, the median is often a better estimate of the center of distribution than the mean because the former is unaffected by large numbers.

Mean refers to the average of set of two or more numbers.

Mean of a set having 'n' numbers = $\frac{Sum Of 'n' Numbers}{n}$

<h3>What is median?</h3>

Median refers to the middle-most value of a list of numbers, arranged either in ascending or descending order.

Median = $\left \{ {{\frac{n}{2}^{th} term, if n = even } \atop( (\frac{n-1}{2}+\frac{n+1}{2})/2)^{th} term, if n = odd }} \right.$

Now,

Since it takes the average of all the values in the data set, the mean is the most widely used measure of central tendency.
Because it is unaffected by exceptionally big numbers, the median performs better than the mean when analyzing data from skewed distributions.

Hence, For skewed data displays, the median is often a better estimate of the center of distribution than the mean.

To learn more about mean and median, refer to the link:brainly.com/question/6281520

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7 0

1 year ago

I need help please and thank you

sergeinik [125]

Try googling it , sorry

8 0

2 years ago