This first course in statistics is designed for undergraduate students. There are dozens of statistics textbooks in the market. But most of these textbooks are either pitched at a level that is too high or too low for most undergraduate students. Many use calculus and are designed for graduate students in technical fields. Others provide black box formulas without any derivations. This textbook focuses on deriving everything from first principles without using calculus or linear algebra. It is important for students to understand why they are doing what they are doing. Otherwise students cannot distinguish meaningless results from significant results. This textbook gets to the major points quickly and is thus relatively short and very accessible.
Contents:

Preface

About the Author

Acknowledgements

Why Statistics?

Descriptive Statistics

Probability

Probability Distributions

Special Probability Distributions

Statistical Inference: Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Hypothesis Testing with Two Samples

Simple Regression

Multiple Regression

Interpreting Regression Results

Appendix

Index

Readership: For undergraduate students who are doing Statistics.
Key Features:

The book is pitched at the correct level for college students and is a practical and useful guide

This textbook aims to derive everything from first principles without using calculus or linear algebra

This book helps students to understand why they are doing what they are doing