## Topic outline

• ### General

• Chapter 1 - Counting Methods

Chapter Learning Objectives:
Select and apply counting procedures, such as the multiplication and addition principles and tree diagrams, to determine the size of a sample space (the number of possible outcomes) and to calculate probabilities.
• Chapter 2 - Calculating Probability

Chapter Learning Objectives:
Select and apply counting procedures, such as the multiplication and addition principles and tree diagrams, to determine the size of a sample space (the number of possible outcomes) and to calculate probabilities.
• Chapter 3 - Expected Values and Simulation

Chapter Learning Objectives:
• Be able to construct a probability model (expected value table) given all possible outcomes and the associated probabilities
• Be able to calculate the expected value for a situation given a probability model
• Be able to calculate missing values in a probability model given information about the expected value in a situation.

• Chapter 4 - Data Collection

Chapter Learning Objectives:
• Know the terminology of data collection, variables, and measurement
• Understand how measurements are used in statistics
• Distinguish between the various methods for data collection
• Chapter 5 - Analyzing Univariate Data

Chapter Learning Objectives:
• Organize categorical data in tables
• Construct bar graphs and pie charts by hand and with computer software programs
• Describe, summarize and compare categorical data
• Chapter 6 - Bivariate Data
Chapter Learning Objectives:
• Understand how to construct and interpret scatterplots to display bivariate data

• Understand the terms explanatory variable and response variable

• Understand how to describe a bivariate relationship in terms of form, directions, and strength

• Chapter 7 - Normal Distributions
Chapter Learning Objectives:
• Understand the similarities between a histogram and a density curve.