1.Sampling Distribution. Distinguish between a distribution of sample means and a distribution of sample proportions

2.Sampling Error- What is it? How does it differ from other sources of error? In general, how does the sampling error increase or decrease with larger sample sizes? Explain.

3.Sample means and Proportions. What is a sample mean? What is a sample proportion? What is the notation used for these statistics?

4.Sample Size. How does the sample size affect how closr to normal a distribution of either sample means or sample proportions will be? What are the means and standard deviations of the distributions in each use?

Determining whether the statements below make sense (is clearly true) or does not make sense (is clearly false) and why that answer is chosen.

5.Sampling Distribution. I selected 3 different samples of size n- 10 drawn from the 1500 students at my school, and with these I constructed the sampling distribution.

6.Sample Proportion. Nielsen Media Research determined the precise proportion of all Americans watching the Super Bowl by conducting a survey of a few thousand households.

7.Sample Reliability. Although Nielsen surveys only a few thousand households out of the millions that own TV's, they have a good chance of getting an accurate estimate of the proportion of the population watching the Super Bowl.

8.Notation. Our study measured the birth weights and incidence of jaundice among a sample of babies born at our hospital, and we found x (with the line above it) = 6.7 pounds and p (with the carrot top above it) = 0.45, or 45% showed signs of jaundice.