# Advanced High School Statistics First Edition

Advanced High School Statistics – We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods.

• (1) Statistics is an applied field with a wide range of practical applications.
• (2) You don’t have to be a math guru to learn from real, interesting data.
• (3) Data are messy, and statistical tools are imperfect. But, when you understand the strengths and weaknesses of these tools, you can use them to learn about the real world.

## Recommended

Textbook overview
The chapters of this book are as follows:

• 1. Data collection. Data structures, variables, and basic data collection techniques.
• 2. Summarizing data. Data summaries and graphics.
• 3. Probability. The basic principles of probability.
• 4. Distributions of random variables. Introduction to key distributions, and how the normal model applies to the sample mean and sample proportion.
• 5. Foundation for inference. General ideas for statistical inference in the context of estimating the population proportion.
• 6. Inference for categorical data. Inference for proportions using the normal and chisquare distributions.
• 7. Inference for numerical data. Inference for one or two sample means using the t distribution, and comparisons of many means using ANOVA.
• 8. Introduction to linear regression. An introduction to regression with two variables.

Instructions are also provided in several sections for using Casio and TI calculators.

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