Chapter 7 AP Stats

What does this formula do?

• Calculates Standard Deviation for a Sampling Distribution of Sample Means

• Checks if the samples are independent

• Checks Normality

• Calculates Probabilities

What proves that the sampling distribution of x-bar is approximately normal?

• n < .10(N)

• the population is stated as skewed

• n is greater than or equal to 30

• the population is stated as symmetric

Which best describes the sampling distribution shown below.

• Unbiased Estimator

• Biased Estimator

Which best describes the sampling distribution shown below.

• Unbiased Estimator

• Biased Estimator

28% of all Woodrow students believe Monday will be snow day. You take a sample of 50 students and find that 15 of them believe Monday will be a snow day. What does 50 represent? 

• n

• P

• phat

• standard deviation

What happens to the shape of a sampling distribution of sample means as n increases?

• It becomes narrower and bimodal.

• It becomes narrower and more normal.

• It becomes wider and skewed right. 

• It becomes wider and more normal. 

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

• The Population

• The Sample

• The Sampling Distribution

The mean and standard deviation of a population are 200 and 20, respectively. Sample size is 25. What is the mean of the sampling distribution?

• 200

• 16

• 25

• 4

At a particular college, 78% of all students are receiving some kind of financial aid.The school newspaper selects a random sample of 100 students and 72% of the respondents say they are receiving some sort of financial aid. Which of the following is true?

•  78% is a population and 72% is a sample.

• 72% is a population and 78% is a sample

• 78% is a parameter and 72% is a statistic

• 72% is a parameter and 78% is a statistic

What is the standard deviation of the distribution?

• 1010

• 20

• 60

• √20