Question

1. the above dot - plot displays the points scored per game by 35 nba players during the 2017 basketball season. a) describe the distribution of points scored per game. b) among these players, there were two selected to be all - stars (a recognition that they are among the best players in the league). these two players were lebron james and kevin durant. circle the dots that likely represent these players. then, comment on how their removal from the dataset would change your interpretation of the shape of the distribution.

Explanation:

a) To describe the distribution, we look at its shape (e.g., symmetric, skewed), center (e.g., median), and spread (e.g., range). We note the clustering of data points and any outliers.
b) All - Stars like LeBron James and Kevin Durant are likely to be high - scoring outliers. Removing them would make the distribution less right - skewed and more symmetric, reducing the influence of extreme values on the shape.

Answer:

a) Analyze shape, center, spread, clustering, and outliers.
b) Circle high - scoring dots. Removal makes distribution less right - skewed and more symmetric.