You’ll need to organize your study time to get a good mark on the exam. The suggested study times below should be treated as minimums.

## CHAPTER 1: (Study Time: A few hours)

This chapter is no more than a few definitions. If your test has a multiple choice section, then your cheat sheet MUST include definitions of:

- populations and samples
- parameters and statistics
- descriptive and inferential statistics
- significance and confidence levels

**My Chapter 1 Lessons are completely free**.

## CHAPTER 2+3: (Study Time: Several hours for each chapter)

These two chapters focus mainly on graphing, which is NOT something you will be doing on your exam, so don’t expect to see much other than a few multiple choice questions regarding:

- Sturges’s rule
- The difference between Nominal, Ordinal, and Interval data

**My Chapter 2 and Chapter 3 Lessons are completely free**.

## CHAPTER 4 ~ (Study Time: At least one full day)

This chapter will appear in many questions on your exam. You will need to understand the following concepts:

- Mean, Median, and Mode « How to calculate them
- Mean, Median, and Mode « How do they relate to each other?
- Mean, Median, and Mode « When is each appropriate?
- Variance, Range, Standard Deviation « How to calculate them
- Variance, Range, Standard Deviation « What do these actually measure?
- Mean Absolute Deviation (M.A.D), and Coefficient of Variation « Calculate and interpret
- Empirical Rule and Chebyshev’s Theorem
- Geometric Mean
- Covariance
- The Coefficient of Correlation

**My Chapter 4 Lessons are completely free**.

## CHAPTER 6 ~ (Study Time: At least two full days)

This chapter plays a VERY significant role on the test. Probability questions will show up as both short answer questions as well as a number of multiple choice questions. For this reason, I feel that Chapter 6 should receive about 80% of your study time. You’ll need a STRONG understanding of:

- Requirements of probabilities
- Calculating the probability of an event
- Classical approach
- Relative frequency approach
- Subjective approach

- Joint probability (Intersection of events A and B)
- Marginal probability
- Conditional probability
- Independent events
- Mutually exclusive events
- Addition rule (Union of events A and B)
- Complement rule
- Probability trees
- Bayes’s law

**IMPORTANT >>** Make sure to work through a number of questions from scratch. Many people THINK they understand how to solve probability questions – until they try to do them without having the answer to refer to.