quiz 6

Question 1

In general, a sampling distribution will be normal if the sample size is equal to or greater than _____.

Answer 1

30

Question 2

According to the central limit theorem, the sampling distribution of sample means will approach normality as n _______.

Answer 2

Increases

Question 3

What happens to the p-value associated with a given sample mean as the sample size increases?

Answer 3

The p-value will decrease

Question 4

The law of large numbers states that as our sample size ______, the probability that our sample mean is an accurate representation of the true population mean ______.

Answer 4

increases; increases

Question 5

All of the individual scores will differ from the mean in different amounts and different directions, which is natural and expected. These differences are quantified as _____.

Answer 5

variance and standard deviation

Question 6

In terms of the sampling distribution of means which of the following is FALSE?

Answer 6

The center is the true population mean.

The shape is a bell-shaped curve.

The spread is called the standard error.

It can be represented by dividing its z-score by the square root of its variance.(THIS IS THE FALSE ONE)