Overview
This textbook introduces descriptive statistics, probability, data visualization, sampling methods, statistical modeling, inference, and hypothesis testing. Students develop the ability to critically evaluate data, identify trends, and make informed conclusions from quantitative evidence.
Table of Contents
- Chapter 1: What Statistics Studies
- Chapter 2: Collecting Data
- Chapter 3: Categorical Data
- Chapter 4: Displaying Quantitative Data
- Chapter 5: Summarizing Quantitative Data
- Chapter 6: Scatter Plots, Correlation, and Linear Models
- Chapter 7: Nonlinear Models
- Chapter 8: Probability Foundations
- Chapter 9: Conditional Probability and Counting
- Chapter 10: Random Variables
- Chapter 11: Normal Distributions
- Chapter 12: Sampling Distributions
- Chapter 13: Hypothesis Testing
- Chapter 14: Statistical Inference and Applications
Learning Outcomes
- Collect, organize, and summarize quantitative and categorical data.
- Create and interpret graphs, charts, and statistical displays.
- Analyze relationships using correlation and regression techniques.
- Apply probability principles to uncertain events.
- Interpret random variables and probability distributions.
- Use sampling methods to draw conclusions about populations.
- Conduct and evaluate hypothesis tests.
- Communicate statistical findings clearly and accurately.
- Apply statistical reasoning to real-world problems and decision-making.