Adapted by AJ Stachelek

Conditions of Use:

This work is licensed under a Creative Commons Attribution 4.0 International License.

Chapters derived from:

https://openstax.org/details/books/introductory-statistics

**Senior Contributing Authors**

- Barbara Illowsky, De Anza College
- Susan Dean, De Anza College

This work is licensed under a Creative Commons Attribution 4.0 International License.

Algebra Detours derived from:

https://openstax.org/details/books/elementary-algebra

**Senior Contributing Authors**

- Lynn Marecek, Santa Ana College
- MaryAnne Anthony-Smith, Formerly of Santa Ana College

This work is licensed under a Creative Commons Attribution 4.0 International License.

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- Chapter 1: Sampling and DataIntroduction

1.1 Definitions of Statistics, Probability, and Key Terms

1.2 Data, Sampling, and Variation in Data and Sampling

1.3 Frequency, Frequency Tables, and Cumulative Frequency - Chapter 2: Descriptive StatisticsIntroduction

2.1 Stem-and-Leaf Graphs (Stemplots) and Bar Graphs

2.2 Histograms

2.3 Measures of the Location of the Data

2.4 Box Plots

2.5 Measures of the Center of the Data

2.6 Skewness and the Mean, Median, and Mode

2.7 Measures of the Spread of the Data - Chapter 3: Probability TopicsIntroduction

3.1 Terminology

3.2 Independent and Mutually Exclusive Events

3.3 Two Basic Rules of Probability

3.4 Contingency Tables

3.5 Tree and Venn Diagrams - Chapter 4: Discrete Random VariablesIntroduction

4.1 Probability Distribution Function (PDF) for a Discrete Random Variable

4.2 Mean or Expected Value and Standard Deviation

4.3 Binomial Distribution - Chapter 5: Continuous Random VariablesIntroduction

5.1 Continuous Probability Functions

5.2 The Uniform Distribution - Chapter 6: The Normal DistributionIntroduction

6.1 The Standard Normal Distribution

6.2 Using the Normal Distribution - Chapter 7 The Central Limit TheoremIntroduction

7.1 The Central Limit Theorem for Sample Means (Averages)

7.3 Using the Central Limit Theorem - Chapter 8: Confidence IntervalsIntroduction

8.1 A Single Population Mean using the Normal Distribution

8.2 A Single Population Mean using the Student t Distribution

8.3 A Population Proportion - Chapter 9: Hypothesis Testing with One Sample Introduction9.1 Null and Alternative Hypotheses

9.2 Outcomes and the Type I and Type II Errors

9.3 Distribution Needed for Hypothesis Testing

9.4 Rare Events, the Sample, Decision and Conclusion

9.5 Additional Information and Full Hypothesis Test Examples - Chapter 12: Linear Regression and CorrelationIntroduction

12.1 Linear Equations

12.2 Scatter Plots

12.3 The Regression Equation

12.4 Testing the Significance of the Correlation Coefficient

12.5 Prediction

12.6 Outliers

12.7 Regression (Distance from School)

12.8 Regression (Textbook Cost)

12.9 Regression (Fuel Efficiency)