You measured the heights and weights of a random sample of 100 NHL hockey players and found that the average weight was 190 pounds. However, suppose that the actual average for all 680 players in the NHL at that time was 192 pounds. In this case, the difference between your statistic and parameter would be:

Question

Kaiden Farley

Social Studies

5 January, 01:49

You measured the heights and weights of a random sample of 100 NHL hockey players and found that the average weight was 190 pounds. However, suppose that the actual average for all 680 players in the NHL at that time was 192 pounds. In this case, the difference between your statistic and parameter would be:

+1

Answers (1)

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Destiny Scott · Answer 1

2

Explanation:

The difference between the statistic and parameter is 2. this is also known as the sampling error. Statistics represents the average value gotten using a sample (100 NHL hockey players) of the population while the corresponding parameter refers to the actual population mean. Parameters is the average of the total population and statistics is the average of the drawn sample from the population.