Introduction to Statistics
About This Book
Learning Outcomes The textbook content and assessments for Introduction to Statistics are aligned to the following learning outcomes. Module 1: Sampling and Data - Recognize and differentiate between key terms. - Apply various types of sampling methods to data collection. - Create and interpret frequency tables. Module 2: Descriptive Statistics - Display data graphically and interpret graphs: stemplots, histograms, and box plots. - Recognize, describe, and calculate the measures of location of d
| Category | general |
|---|---|
| Subject | N/A |
| Year | 2023 |
| Authors | |
| Chapters | 33 |
| Word Count | |
| Price | |
| License | Creative Commons - Attribution - https://creativecommons.org/licenses/by/4.0/ |
Chapters
- Definitions of Statistics, Probability, and Key Terms
- Frequency, Frequency Tables, and Levels of Measurement
- Experimental Design and Ethics
- Answers to Selected Exercises
- Measures of the Center of the Data
- Skewness and the Mean, Median, and Mode
- Measures of the Spread of Data
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- Introduction to Probability Topics
- The Terminology of Probability
- The Uniform Distribution
- The Exponential Distribution
- The Central Limit Theorem for Sums
- Introduction to Confidence Intervals
- Section Exercises
- Distribution Needed for Hypothesis Testing
- Rare Events, the Sample, Decision and Conclusion
- Additional Information and Full Hypothesis Test Examples
- Introduction to Hypothesis Testing with Two Samples
- Two Population Means with Unknown Standard Deviations
- Matched or Paired Samples
- Facts About the Chi-Square Distribution
- Comparison of the Chi-Square Tests
- Test of a Single Variance
- Section Exercises
- Outliers
- Section Exercises
- Facts about the F Distribution
- Test of Two Variances
- Section Exercises
- Introduction to Multiple and Logistic Regression
- Model Selection
- Checking Model Assumptions Using Graphs