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An athletic trainer wants to find out if there is a significant difference in the mean height of football players and basketball players in a large school district. She randomly selects 100 high school varsity football players and 100 high school varsity basketball players to compare the mean heights for each group.Which of the following is the most appropriate statistical test to use to determine if there is a significant difference in mean height between basketball and football players? ANOVA Matched pairs t-test Inference for regression Chi-squared test for independence Two-sample t-test

Question

An athletic trainer wants to find out if there is a significant difference in the mean height of football players and basketball players in a large school district. She randomly selects 100 high school varsity football players and 100 high school varsity basketball players to compare the mean heights for each group.Which of the following is the most appropriate statistical test to use to determine if there is a significant difference in mean height between basketball and football players? ANOVA Matched pairs t-test Inference for regression Chi-squared test for independence Two-sample t-test

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Solution

The most appropriate statistical test to use in this scenario is the Two-sample t-test. This test is used to determine if two population means are equal. The two groups (football players and basketball players) are independent of each other and the athletic trainer is interested in comparing the means of these two groups. Therefore, the Two-sample t-test is the most suitable choice.

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