1) When using a Normal Model to describe distributions of Sample Proportions, how do we find the mean and standard deviation for our model?
2) What is the difference between the symbol "p" and "p-hat"?
3) What is sampling error? What is another name for sampling error?
4) What assumptions must be made and what conditions must be met in order to use a Normal model for sample proportions? Explain each assumption and condition.
5) Why are sampling models important in statistics?
6) Proportions summarize categorical data, what can be used to summarize quantitative data?
7) What is the Central Limit Theorem?
8) When using a Normal Model to describe distributions of Sample Means, how do we find the mean and standard deviation for our model?
9) What is standard error?
10) What assumptions must be made and what conditions must be met in order to use a Normal model for sample means? Explain each assumption and condition.
11) What is the difference between the sampling distribution and the distribution of the sample?
Rossman chance applet from packet
http://www.rossmanchance.com/applets/Reeses/ReesesPieces.html
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