1. The sampling distribution of the mean is A. The standard deviation of sample

Question

1. The sampling distribution of the mean is
A. The standard deviation of sample means.
B. A plot of individual scores drawn from a sample mean.
C. The average of all sample means.
D. A plot of sample means drawn from a population.

2. Maria draws successive random samples of nine (9) participants from a population, calculates the mean of each sample, and plots the sample means. If the population has a mean of 12 and a standard deviation of 6, the standard deviation of her sample means
A. is 4.
B. is 2.
C. cannot be determined
D. is 3.

The central limit theorem states that the mean of the sampling distribution of the mean is equal to the population

A.mean

B.standard deviation divided by the square root of N.

C.standard deviation.

D.mean divided by the population standard deviation.

The value of the standard deviation of the sampling distribution of the mean is always greater than the standard deviation of the population.

True

False

Explanation / Answer

Answers with reasons below:

1. The actual definition is : D. A plot of sample means drawn from a population.

2. B is 2. The sample' deviaation is pop; deviation divided by sqrt(9)

3. The sample distribution' mean is equal to population A.mean

4. False. Sample deviation = Population deviation/sqrt(n). So,Sample deviation< Population deviation

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