Question

To determine whether data are normally distributed, one can test to see whether the curve is shifted to the left or right. This shift is called

Answer 1

One can examine the shape of the distribution and test for skewness

A dataset's skewness is a measure of its asymmetry or lack thereof. The curve is not centered and may be shifted to the left or right if the data distribution is skewed.

The distribution is referred to as "right-skewed" or "positively skewed" if its tail is stretched to the right. This indicates that the right side of the distribution has more extreme values.

The shift in the curve to the left or right is described in terms of skewness, and the specific terms used are "right-skewed" or "left-skewed," depending on the direction of the skewness.