19. Sampling Distribution. A quarterback threw 1 interception in his first game,

Question

19. Sampling Distribution. A quarterback threw 1 interception in his first game, 2 interceptions in his second game, 5 in terceptions in his third game, and then he retired. Consider the values of 1, 2, and 5 to be a population. Assume that samples of size 2 are randomly selected (with replacement) from the population a. List the 9 different possible samples and find the mean of each sample b. What is the mean of the sample means from part a? c. Is the mean of the sampling distribution from part t equal to the mean of the population of the three listed values? Are those means always equal?

Explanation / Answer

a. Possible Samples of sample Size 2 :

Sample means

b . Mean of sample means = sum of all sample means / Total number of samples

= (1+2+5+1.5+3+3.5+1.5+3+3.5) / 9 = 24/9 = 8/3

c.

Population :

Mean of the population = (1+2+5) / 3 = 8/3

Mean of the sampling distribution from part b is mean of the sample means which is equal to 8/3 .

Yes the mean of the sampling distribution from part b : 8/3 is equal to the mean of the population : 8/3

Yes mean of the sampling distribution is always equal to the mean of the population.

Game number 1 2 3 Total Number of interceptions 1 2 5 8

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