AP Statistics Sampling Proportions

What does the symbol represent?

• mean from a sample

• proportion from a population

• standard deviation of the sampling distribution of sample proportions

• mean of the sampling distribution of sample proportions

• mean from a population

What does the symbol represent?

• proportion from a sample

• proportion from a population

• standard deviation of the sampling distribution of sample proportions

• mean of the sampling distribution of sample proportions

• standard deviation from a population

What does the symbol represent?

• proportion from a sample

• proportion from a population

• probability of something happening

• probably didn't learn this

• mean of the sampling distribution of sample proportions

What does this symbol represent?

• population proportion

• parameter

• sample proportion

• population sample

A company has 500 employees and wants to evaluate a proportion using the distribution of sample proportions and normal curve. Under which circumstance will they be able to do this?

• n = 80, p = .2

• n = 40, p = .2

• n = 40, p = .9

• n = 30, p = .4

10% of people are left handed. If 800 people are randomly selected, find the likelihood that at least 12% of the sample is left handed.

• 0.0297

• 0.0106

• 0.0409

• 0.0816

10% of people are left handed. Of the following, what is the smallest sample size needed to be at least 90% sure that the sample proportion will be between 9% and 11%?

• 1500

• 2000

• 2500

• 3000

53.2% of applicants are accepted into UConn. In a sample of 100 UConn applicants, 45 of them were accepted. What is the parameter?

• All UConn applicants.

• The 100 applicants in the sample.

• 53.2% acceptance rate.

• 45% of accepted in sample.

Which of the following is the central limit theorem used for?

• The standard deviation of the distribution of sample means is found by dividing the population standard deviation by n.

• The distribution of sample means will be approximately normal if the sample size is at least 30.

• The distribution of sample proportions is approximately normal if both np and n(1 - p) are greater than or equal to 10.

• As sample size increases, variability decreases.