12, 26, 18, 8, 80, 14, 56, 16\nthe data above shows the number of points scored by each player on a…

12, 26, 18, 8, 80, 14, 56, 16\nthe data above shows the number of points scored by each player on a basketball team during a regional tournament. jennie sampled three of the players and got a mean score of 14. charles sampled three players and got a mean score of 54. explain the difference in the two sample means.

12, 26, 18, 8, 80, 14, 56, 16\nthe data above shows the number of points scored by each player on a basketball team during a regional tournament. jennie sampled three of the players and got a mean score of 14. charles sampled three players and got a mean score of 54. explain the difference in the two sample means.

Answer

Brief Explanations:

The population (all - player scores) has variability. Different samples of the same size (three - player samples) can capture different subsets of the population. Jennie's sample likely included lower - scoring players, while Charles's sample likely included higher - scoring players, leading to different sample means.

Answer:

The difference in sample means is due to sampling variability. Different subsets of players (samples) from the same population (all players on the team) were selected, and these subsets had different combinations of high and low scorers.