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Read more about Introductory Business Statistics

Introductory Business Statistics

(9 reviews)

Lex Holmes, University of Oklahoma

Barbara Illowsky, De Anza College

Susan Dean, De Anza College

Copyright Year: 2017

ISBN 13: 9781947172470

Publisher: OpenStax

Language: English

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Learn more about reviews.

Reviewed by Yan Wang, Instructor, Rogue Community College on 11/29/23

I would like to propose the addition of a section on non-parametric statistics to the textbook, because this section is required in our study, I will have to find additional teaching resources. read more

Reviewed by Jaehwan Jeong, Associate Professor, Radford University on 10/24/23

This textbook covers most chapters that a typical introductory statistics book includes. The chapters are well organized with essential topics. This will be enough to teach an introductory statistic for a semester. It has many examples for every... read more

Reviewed by Shengnan Fang, Full-time Faculty, Linn-Benton Community College on 1/7/21

This textbook covers the major topics in the introductory of statistics. There are 13 chapters, and the first 3 chapters focus on the introduction of data, descriptive statistics and probabilities. From Chapter 4 to Chapter 7, those chapters... read more

Reviewed by Nasim Sabah, Assistant Professor, Framingham State University on 6/2/20

This textbook covers all the relevant chapters for a one-semester Business Statistics undergraduate class. Some of the concepts could more details (e.g., hypergeometric distribution, uniform distribution, separating simple and multiple linear... read more

Reviewed by Marta Maras, Assistant Professor, Gettysburg College on 4/22/20

All relevant chapters covered in most undergraduate introductory statistics classes are included and explained in a consistent and clear way that keep students engaged. Considering that the book is intended to be used by students majoring in... read more

Reviewed by Mark Segall, Professor, Metropolitan State University of Denver on 7/10/19

The textbook covers all of the main topics for a typical one semester Business Statistics course: descriptive statistics, probability, discreet and continuous distributions, central limit theory and confidence intervals, hypothesis testing for 1,... read more

Reviewed by Dawn LoweWincentsen, Director, Portland Metro Campus Library/ Associate Professor, Open Oregon Educational Resources on 4/8/19

In reading and reviewing this resource it is very complete, but very specific to business statistics. All statistical components and aspects are taken into consideration in a factual way, but not always tied back to the wider research process. The... read more

Reviewed by William M. Easley, Instructor (Business Statistics), University of New Orleans on 5/21/18

How one assesses the comprehensiveness of this text depends on one’s purpose. It is purportedly designed for a one-semester course. For that (at least relative to business students at UNO), it is too long -- and too long on the mathematics. For a... read more

Reviewed by Alan Weber, Full-Time Lecturer, University of Missouri at Kansas City on 5/21/18

Very good for an introductory book. Actually better than the text I've used in the past, covering several key areas such as types of distributions. The authors chose specific enough statistics that students do not need more than the free... read more

Table of Contents


  • 1 Sampling and Data
  • 2 Descriptive Statistics
  • 3 Probability Topics
  • 4 Discrete Random Variables
  • 5 Continuous Random Variables
  • 6 The Normal Distribution
  • 7 The Central Limit Theorem
  • 8 Confidence Intervals
  • 9 Hypothesis Testing with One Sample
  • 10 Hypothesis Testing with Two Samples
  • 11 The Chi-Square Distribution
  • 12 F Distribution and One-Way ANOVA
  • 13 Linear Regression and Correlation

Statistical TablesMathematical Phrases, Symbols, and Formulas

Ancillary Material

  • OpenStax
  • About the Book

    Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

    About the Contributors


    Lex Holmes is a Professor in the Economics department at University of Oklahoma, Norman, OK

    Barbara Illowsky is a Professor of Mathematics & Statistics at De Anza College.

    Susan Dean is a Professor in the Mathematics department at De Anza College, Cupertino, CA.

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