Sampling Distributions Ch. 7 AP Stat

The Gallup Poll asked a random sample of 1785 adults whether they attended church during the past week.  Let p-hat be the proportion of people in the sample who attended church.  A newspaper report claims that 40% of all U.S. adults went to church last week.  Suppose this claim is true. 
What is the mean of the sampling distribution of p-hat?

• 0.4
• 0.44
• 0.56
• 0.6

28% of all Harrison HS students believe we will be back in school before spring break. You take a sample of 50 students and find that 15 of them believe we will be back in school before spring break. 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. 

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 does this symbol represent?

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

What does this symbol represent?

• mean of the sample means
• mean of the proportions
• standard deviation of the means
• standard deviation of x-bar

What does this symbol represent?

• sample mean
• population standard deviation
• population mean
• sample mew

What does this symbol represent?

• parameter
• sample proportion
• parameter of a population
• population proportion

What does this symbol represent?

• population proportion
• parameter
• sample proportion
• population sample

What does this symbol represent?

• standard error
• standard deviation of the sample proportions
• standard deviation of a parameter
• standard deviation of the population