# Introductory Statistics

Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.

License:

**Creative Commons Attribution**. This license is considered to be some to be the most open license since it is the least restrictive. It allows reuse, remixing, and distribution (including commercial), only requiring attribution. The content can be remixed into content of other license, but on the other hand it allows the remix to be put under a more restrictive license.Formats:

**PDF**. A Portable Document Format (PDF) file is can be opened using the free Acrobat Reader. It is not an editable format.**ePub**. An ePub file is used by some e-readers. It is not an editable format**HTML**. An HTML file is a web page document. It can be opened by any web browser. It is an editable format.

Openness Rating (0-4): 4

Openness Comments: The book is editable in the OpenStaxCNX platform.

- Preface
- Sampling and Data
- Descriptive Statistics
- Probability Topics
- Discrete Random Variables
- Continuous Random Variables
- The Normal Distribution
- The Central Limit Theorem
- Confidence Intervals
- Hypothesis Testing with One Sample
- Hypothesis Testing with Two Samples
- The Chi-Square Distribution
- Linear Regression and Correlation
- F Distribution and One-Way ANOVA

Supplements:

**WebAssign online homework**. WebAssign is a commercial online homework system. It provides randomized, algorithmically generated homework with automated grading of numerical and algebraic answers, similar to MyOpenMath. Question sets have been created for this textbook which can be built into assessment sets by faculty. They provide support, and charge about $25/student.

Notes: The publisher also provides Powerpoints and an Instructor solutions manual