Respuesta :

With data, you can have outliers. Outliers are values that do not follow what the range or majority of the data you collected so a value of 45, 42, 45, 48, 42, 44, 88, the mean will obviously be different because the 88 is going to change the whole data. But, if you put it from least to greatest, you can see what the majority of data is, (what the middle value is) to see what is in the middle range of what you have collect- the outliers don't affect what you have. Hence, 42, 42, 44, 45, 45, 88 (it's not much data) but it can show what the majority of data is. Hope this helps :> :)
Lanuel

The median of a data set is generally considered to be a better measure of center than the mean when there is an outlier and the data set is skewed.

What is a median?

A median can be defined as the middle number (center) of a sorted data set, which is when the data set is arranged in from the greatest to least or the least to greatest.

What is a mean?

A mean refers to a ratio of the sum of the total number in a data set to the frequency of the data set.

In Statistics and mathematics, the median of a data set is generally considered to be a better measure of center than the mean when there is an outlier in the data set, which makes the graphical representation  to be skewed.

In conclusion, a skewed data is more likely to affect the mean more than the median and as such making the median of a data set is generally considered to be a better measure of center than the mean.

Read more on median here: https://brainly.com/question/9550536

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