Resource List by Course Content
The resources listed on this page are meant only as general instruction materials. Students are expected to contact their instructors regarding the specific requirements for their classes.
Chapter 1: Data and Statistics
1.2 Data
1.5 Statistical Inference
Chapter 2: Descriptive Statistics: Tabular and Graphical Presentations
2.1 Summarizing Categorical Data
2.2 Summarizing Quantitative Data
2.3 Exploring Data Analysis: The Stem-Leaf Display
Chapter 3: Descriptive Statistics: Numerical Measures
3.1 Measures of Location
3.2 Measures of Variability
3.3 Measures of Distribution Shape, Relative Location, and Detecting Outliers
3.4 Exploratory Data Analysis
3.5 Measure of Association Between Two Variables
3.6 The Weighted Mean and Working with Grouped Data
Chapter 4: Introduction to Probability
4.1 Experiments, Counting Rules, and Assigning Probabilities
4.2 Events and Their Probabilities
4.3 Some Basic Relationships of Probability
4.4 Conditional Probabilities
Chapter 5: Discrete Probability Distribution
5.1 Random Variables
5.2 Discrete Probability Distributions
5.3 Expected Value and Variance
5.4 Binomial Probability Distribution
Chapter 6: Continuous Probability Distributions
6.2 Normal Probability Distribution
6.3 Normal Approximation of Binomial Probabilities (Only do the np>5 and nq>5 condition that shows a binomial can be approximated by a normal distribution. Do not do probability estimates with continuity correction factors.)
Chapter 7: Sampling and Sampling Distributions
7.2 Selecting a Sample
7.3 Point Estimation
7.4 Introduction to Sampling Distributions
7.5 Sampling Distributions of x̅
7.6 Sampling Distributions of p̂̂
7.8 Other Sampling Methods
Chapter 8: Interval Estimation
8.1 Population Mean: σ known
8.2 Population Mean: σ unknown
8.3 Determining the Sample Size
8.4 Population Proportion
Chapter 9: Hypothesis Tests
9.1 Developing Null and Alternative Hypotheses
9.2 Type I and Type II Errors
9.3 Population Mean: σ Known (only a discussion the distinction of a one tail verses two tail hypotheses test)
9.4 Population Mean: σ Unknown
Chapter 12: Tests for Goodness of Fit and Independence
12.2: Test of Independence
Chapter 14: Simple Linear Regression
14.1 Simple Linear Regression Model
14.2 Least Squares Method
14.3 Coefficient of Determination
14.4 Model Assumptions
Appendix 14.2 (page 636-637): A Test of Significance Using Correlation
Chapter 17: Index Numbers
17.1: Price Relatives
17.4: Some Important Price Indexes
17.5 Deflating a Series by Price Indexes
17.6: Price Indexes: Other Considerations
Chapter 18: Forecasting
18.1 Time Series Patterns
18.3 Moving Averages and Exponential Smoothing
18.4 Trend Projection
Chapter 20: Statistical Methods for Quality Control
20.1 Philosophies and Frameworks
20.2 Statistical Process Control