Study Guide Unit IV
Test IV cover modules:
- Applications of the normal curve.
- The Central Limit Theorem.
- Confidence interval estimation.
1.Find areas under the standard normal distribution.
2. Make an application of a normal curve.
3. Construct a large sample confidence interval.
4. Construct a small sample confidence interval.
5. Who is the discoverer of the "t" distribution?
6 What is the relationship between degree of confidence and width of confidence interval?
7. What is the mean and standard deviation of the standard normal distribution?.
8. Name two properties of any sampling distribution of the mean.
9. What is a sampling error?
10. What is the meaning of the term "standard error"?
11. Name the parameter that determines a "t" distribution.
12.Why do we say we are 95% confident and not 95% sure when speaking of 95% confident intervals?
13.What does the Central Limit say?
14.Name two ways in which "t" distribution differs from normal distributions?
15.Know the meaning of the symbols for populations, distributions, and samples.
16.Under what conditions must the "t" distribution be used in
calculating confidence intervals?
17.Explain why interval estimates are preferred over point estimates for a
population mean.
18. What is the best point estimate of a population mean?
19.What is the formula for calculating the maximum error of the estimate for
large samples?
20. Find a raw score given a z score.
21.Determine the sample size given the degree of confidence and the margin of error.
22.Know when to use the Z statistic or the t statistic.