Sampling Distribution Review

The Central Limit Theorem states that if a population is (approximately) normal OR the sample size is greater than or equal to ____, then the associated sampling distribution is approximately normal.

• 30

• 20

• 500

• 80

Which of the following gives the standard deviation of a sampling distribution of a sample mean?

• σ/√n

• σ/n

• σ/(n-1)

• σ/[ (√n)-1 ]

Which sample size for a sampling distribution will have the smallest standard deviation?

• n = 10
• n = 200
• n = 400
• n = 1000

These symbols represent the mean and standard deviation for which of the following distributions?

• The Population

• The Sample

• The Sampling Distribution

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.IC.A.1

CCSS.HSS.IC.B.4

These symbols represent the mean and standard deviation for which of the following distributions?

• The Population

• The Sample

• The Sampling Distribution

Tags

CCSS.HSS.ID.A.4

CCSS.HSS.ID.A.2

CCSS.HSS.ID.A.3

These symbols represent the mean and standard deviation for which of the following distributions?

• The Population
• The Sample
• The Sampling Distribution

Tags

CCSS.HSS.ID.A.4

The mean and standard deviation of a population are 200 and 20, respectively. Sample size is 30.

What is the standard deviation of the sampling distribution?

• 200

• 16

• 25

• 3.65

The mean and standard deviation of a population are 200 and 20, respectively. Sample size is 30.

What is the mean of the sampling distribution?

• 200

• 16

• 25

• 4

What does this symbol represent?

• population proportion
• parameter
• sample proportion
• population sample

What does this symbol represent?

• mean of the sample proportions
• proportion of samples
• mean of the means
• standard deviation of the samples