- Know which distributions (uniform, binomial, normal, t, chi-square) are symmetric about their mean
- Know which distributions require degrees of freedom
- A sampling situation is described. Know which distribution should be used. Examples: A small sample from a normal population with the population standard deviation unknown would be the Student's t distribution. The RAND function on the calculator uses the uniform distribution. The number of children in a family of five would be the binomial.
- A sampling situation is described. Know which distribution should be used.
- A sampling situation is described. Know which distribution should be used.
- A sampling situation is described. Know which distribution should be used.
- A sampling situation is described. Know which distribution should be used.
- Know the best point estimate for the population mean
- Know the best point estimate for the population proportion.
- Know the best point estimate for the population standard deviation.
- Know properties of the standard normal distribution (multiple choice)
- Know properties of the Student's t distribution (multiple choice)
- Know properties of the chi-square distribution (multiple choice)
- Know properties of the sampling distribution of the sample means (multiple choice)
- Know the effect of increasing or decreasing the sample size on the maximum error of the estimate. From lab.
- Know the effect of increasing or decreasing the level of confidence on the maximum error of the estimate. From lab.
- Identify the distribution from the graph. Need to know what an uniform, binomial, normal, and Student's t distribution looks like.
- Look up a z, t, and chi-square critical from the tables using the alpha notation. Z
_{0.05}means the z-score with 0.05 area to the right which is 1.645. Three parts. - Given a confidence level and a critical value from the t-table, find the sample size. Remember that the t-table gives degrees of freedom, you will need to add 1 to get the sample size.
- Competitive Test problem. Given the mean and standard deviation of test scores, find the probability of receiving a certain grade if grades are assigned competitively. Only one letter grade is given. Very similar to problem 5.4.18.
- Know the difference between a standard normal a non-standard normal distribution.
- Application problem using a non-standard normal distribution. Straight from the text in 5.3. Looking through your lecture notes would be wise.
- Application problem using a non-standard normal distribution. One part is a single value, the other part is involving the mean. Straight from the text in 5.5.
- Use a standard normal distribution to find probabilities. There are seven parts. You must draw the picture and find the probability. There is a normal graph given, you just need to shade the proper portion. Two points for finding the correct probability and one point for shading the proper region. This problem accounts for slightly over 1/5th of the points on the test, but it is very important!
- Use Statdisk to estimate the sample size. Straight from the text.
- Use Statdisk to find a confidence interval. Straight from the text.
- Use Statdisk to find a confidence interval. Straight from the text.

- Problems 1-16 and 18-20 multiple choice. Circle ALL correct responses.
- Be sure you bring your book to the test, you will need it for the tables.

# |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
13 |
14 |

Pts |
2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 |

# |
15 |
16 |
17 |
18 |
19 |
20 |
21 |
22 |
23 |
24 |
25 |
26 |
27 |
Total |

Pts |
2 | 2 | 4 | 6 | 2 | 4 | 4 | 4 | 8 | 21 | 5 | 5 | 5 | 100 |