conclusion: the shape of the distribution is type your answer..., meaning the bulk of the data lies to the…

conclusion: the shape of the distribution is type your answer..., meaning the bulk of the data lies to the type your answer... in a bell - shaped unimodal distribution, unusual data lies more than 2 standard deviations from the mean. outliers exist more than 1.5(iqr) above q3 or 1.5(iqr) below q1. the gold medals won by a country is considered an outlier. the is pulled in the direction of skewness, so the type your answer... type your answer... would best represent the typical number of gold medals won by a top - 20 gold medal winning country in the 2010 winter olympics. due to the skewness, we will use the type your answer... to describe the spread of the data.

conclusion: the shape of the distribution is type your answer..., meaning the bulk of the data lies to the type your answer... in a bell - shaped unimodal distribution, unusual data lies more than 2 standard deviations from the mean. outliers exist more than 1.5(iqr) above q3 or 1.5(iqr) below q1. the gold medals won by a country is considered an outlier. the is pulled in the direction of skewness, so the type your answer... type your answer... would best represent the typical number of gold medals won by a top - 20 gold medal winning country in the 2010 winter olympics. due to the skewness, we will use the type your answer... to describe the spread of the data.

Answer

Explanation:

Step1: Identify distribution shape

The distribution appears to be skewed as the data is not symmetrically distributed around the mean. There are outliers (values more than 2 standard - deviations from the mean) and the bulk of the data is not evenly spread on both sides of the center.

Step2: Determine measure of spread for skewed data

For skewed data, the inter - quartile range (IQR) is a better measure to describe the spread than the standard deviation. The IQR is the range between the first quartile (Q1) and the third quartile (Q3) and is less affected by outliers.

Answer:

The inter - quartile range (IQR)