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VIP Practice Exercise: Central Limit Theorem

Practice Exercise: Central Limit Theorem

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Question 1 of 10

The notion that taking random samples from the population would generate different means is called...

A

sample variation

B

sample constancy

C

sampling distribution

D

sample distribution

Question 2 of 10

The definition of a sample distribution is...

A

the distribution of sample values

B

the distribution of sample means

C

the distribution of sample proportions

D

the distribution of scores in a sample

Question 3 of 10

The sampling distribution is often referred to as...

A

the distribution of sample values

B

the distribution of sample means

C

the distribution of sample proportions

D

the distribution of scores in a sample

Question 4 of 10

To generate a sample distribution, you need...

A

one sample with at least 1 value

B

one sample with at least 2 values

C

multiple samples with at least 1 value each

D

multiple samples with at least 2 values each

Question 5 of 10

To generate a sampling distribution, you need...

A

one sample with at least 1 value

B

one sample with at least 2 values

C

multiple samples with at least 1 value each

D

multiple samples with at least 2 values each

Question 6 of 10

According to the central limit theorem, the sampling distribution of sample means forms a normal distribution when...

A

the sample size of your sample distributions is 30 or greater

B

the number of samples in your sampling distribution is 30

C

there are 30 sample means from a population

D

the sample size is 30 and there are 30 sample means

Question 7 of 10

According to the central limit theorem...

A

the mean of all possible sample means equals the population mean

B

the sample mean is an approximation of the population mean

C

there is no way to know the true population mean

D

30 sample means will equal the population mean

Question 8 of 10

According to the central limit theorem...

A

the standard deviation is equal to the population standard deviation

B

the standard deviation divided by sqrt(N) equals the standard error of the mean

C

the sampling distribution of the standard deviations equals the population standard deviation

D

the standard deviation equals the standard error of the mean

Question 9 of 10

The standard error of the mean is equivalent to...

A

the standard deviation of the sampling distribution

B

the standard deviation divided by the sqrt(N)

C

the standard deviation

D

Options 1 and 2

Question 10 of 10

Which of the following population distributions will Not produce a normal distribution of the sampling distribution of the mean?

A

uniform distributions

B

skewed distributions

C

bimodal distributions

D

none of the above

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