conclusion: the shape of the distribution is right skewed, meaning the bulk of the data lies to the in a…

conclusion: the shape of the distribution is right skewed, meaning the bulk of the data lies to the 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 mean is pulled in the direction of skewness, so the 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. type your answer... type your answer... type your answer... type your answer... type your answer...

conclusion: the shape of the distribution is right skewed, meaning the bulk of the data lies to the 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 mean is pulled in the direction of skewness, so the 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. type your answer... type your answer... type your answer... type your answer... type your answer...

Answer

Explanation:

Step1: Identify data - spread measure for skewed data

For skewed data, the inter - quartile range (IQR) is a better measure of spread than the standard deviation. The mean is affected by outliers in skewed data, while the IQR is more robust.

Step2: Recall properties of IQR

The IQR is the difference between the third quartile (Q3) and the first quartile (Q1), i.e., $IQR = Q3 - Q1$. It represents the middle 50% of the data.

Answer:

Inter - quartile range (IQR)