Exam 3 - Study Guide
- Which distributions are symmetric about their mean? (multiple choice)
 - Which distributions require degrees of freedom? (multiple choice)
 - Which distribution should be used to find a confidence interval? (multiple choice)
 - Properties of the standard normal distribution. (multiple choice)
 - Properties of the Student's t distribution. (multiple choice)
 - Properties of the Chi-Square distribution (multiple choice)
 - How to change the maximum error of the estimate. (multiple choice)
 - When should a normal approximation to the binomial be used? (true false)
 - What are degrees of freedom? (true false)
 - What is the best point estimator for the population mean? (true false)
 - What is the best point estimator for the population variance? (true false)
 - What needs to be estimated? (true false)
 - Relationship between confidence level and area in tails. (true false)
 - Relationship between confidence level and confidence interval width. (true false)
 - Usage of the continuity correction factor. (true false)
 - Calculate a cutoff score for an exam when a grades are assigned by percentage of students, rather than quality of exam.  Only one score to calculate.  See problem 33 in section 5.3.
 - Calculate probabilities for a standard normal distribution.  Also sketch the region.  These are exactly out of the book.  See problems 5 - 24 in section 5.2.  Five parts.
 - Approximate a binomial probability using the normal distribution.  See your notes for the problem we did in class about passing an exam with at least 60% of 100 true-false questions answered correctly.
 - Calculate a normal probability for an individual and also for the mean of a sample of people.  This problem is exactly out of the text.  Look at problems 1, 2, 17, and 18 in section 5.4 and problem 8 in the chapter 5 review.
 - Calculate a normal probability from a non-standard distribution.  This problem is exactly out of the text.  See problems 9 - 29 (odds) in section 5.3.
 - Summarize the Central Limit Theorem.  The CLT has been stated with certain key words omitted.  Fill in the blanks.
 - Calculate the degrees of freedom for a problem.  This is to test your understanding of the concept of degrees of freedom, rather than the memorization of a formula.
 - Look up values from the tables using Critical Value notation.  One normal, one student's t, and one chi-square.  See explanation of critical value notation in section 6.2 (page 290) and section 6.4 (page 322).
 - Find the critical values for a confidence interval about the population variance.  Find the sample size when the critical value is known.
 
Scoring
- Multiple choice questions are 4 points each (1 point for each possible answer).
 - True-false questions are 2 points each.
 - 16, 18, 19, 20, and 22 are 4 points for each part.
 - 17 is 3 points per part for a total of 15 points.
 - 21 is 6 points.
 - 23 and 24 are 2 points per part.
 
Distributions we have discussed (and hence you should know the properties of)::
- Uniform (from statdisk)
 - Binomial
 - Normal
 - Student's t
 - Chi-Square
 
There is no working in groups on this exam. 
The take home exam for chapter six is to work the even numbered problems from the Chapter 6 review on pages 331 - 333.  There are nine problems, 2 points each, for a total of 18 points.  This will be a separate grade from the chapter 5-6 exam which is worth 100 points.