Exam 1 Study Guide

Chapter 5

Probability Rules

You should be familiar with the following definitions:

• sample space
• experiment
• outcome
• event
• unusual event
• subjective probability
• empirical approach

The Addition Rule and Compliments

You should be familiar with the following definitions:

• disjoint events
• mutually exclusive events
• compliment of an event

You should be able to apply the addition rule (for disjoint events, and the general addition rule) and the compliment rule.

You should be able to draw and/or interpret a Venn diagram for events.

Independence and the Multiplication Rule

You should be familiar with the following definitions:

• independent events
• dependent events

You should be able to apply the multiplication rule for independent events (for two events or more than two events)

You should be generally familiar with the rules of probability summary on page 253.

Conditional Probability

You should be familiar with the following definitions:

• conditional probability

You should be able to apply the conditional probability rule and the general multiplication rule (p.258)

Counting Techniques

You should be familiar with the following definitions:

• permutation
• combination
• factorial symbol

You should be able to use a spreadsheet to compute permutations and combinations, understand the difference between them, and be able to apply them to counting problems.

You should be able to apply the multiplication rule for counting.

Chapter 6

Discrete Random Variables

You should be familiar with the following definitions:

• random variable
• discrete random variable
• continuous random variable
• probability distribution

You should be able to use a spreadsheet to compute the mean, variance, and standard deviation of a discrete random variable.

The Binomial Distribution

You should be familiar with the following definitions:

• binomial probability experiment

You should be able to use a spreadsheet to compute the single-value and cumulative probabilities for the binomial distribution, and use them to solve word problems involving the binomial distribution.