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The scores of individual students on the American College Testing (ACT) Program Composite College Entrance Examination have a Normal distribution with a mean of μ = 18.6 and a standard deviation of σ = 6.0. At Northside High, 36 seniors take the test. Assume the scores at this school have the same distribution as the scores in the population.What is the standard deviation of the sampling distribution of the sample mean for a random sample of 36 students

Question

The scores of individual students on the American College Testing (ACT) Program Composite College Entrance Examination have a Normal distribution with a mean of μ = 18.6 and a standard deviation of σ = 6.0. At Northside High, 36 seniors take the test. Assume the scores at this school have the same distribution as the scores in the population.What is the standard deviation of the sampling distribution of the sample mean for a random sample of 36 students

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Solution

The standard deviation of the sampling distribution of the sample mean, also known as the standard error, can be calculated using the formula:

Standard Error = σ / sqrt(n)

where σ is the standard deviation of the population and n is the sample size.

In this case, σ = 6.0 (the standard deviation of the population) and n = 36 (the sample size).

So, the standard error = 6.0 / sqrt(36) = 6.0 / 6 = 1.0

Therefore, the standard deviation of the sampling distribution of the sample mean for a random sample of 36 students is 1.0.

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