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Introductory Business Statistics 2e

by Alexander Holmes, Barbara Illowsky and Susan Dean

Published by OpenStax

StatisticsBusinessCollege

Introductory Business Statistics 2e aligns with the topics and objectives of the typical one-semester statistics course for business, economics, and related majors. The text provides detailed and supportive explanations and extensive step-by-step walkthroughs. The author places a significant emphasis on the development and practical application of formulas so that students have a deeper understanding of their interpretation and application of data. Problems and exercises are largely centered on business topics, though other applications are provided in order to increase relevance and showcase the critical role of statistics in a number of fields and real-world contexts. The second edition retains the organization of the original text. Based on extensive feedback from adopters and students, the revision focused on improving currency and relevance, particularly in examples and problems. A detailed transition guide is available for instructors. The first edition of Introductory Business Statistics by OpenStax is available in web view here .

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Attribution

Adapted from Introductory Business Statistics 2e by Alexander Holmes, Barbara Illowsky, and Susan Dean, published by OpenStax (Rice University) under CC BY-NC-SA 4.0 (https://creativecommons.org/licenses/by-nc-sa/4.0/). Access the original for free at https://openstax.org/details/books/introductory-business-statistics-2e. Changes: converted to CuraCourse lessons, with interactive practice added.

Table of contents

90 pages in 15 modules. Sign up to read and adopt them.

  1. Preface1 page
    1. Preface
  2. 1Sampling and Data6 pages
    1. Introduction
    2. 1.1Definitions of Statistics, Probability, and Key Terms
    3. 1.2Data, Sampling, and Variation in Data and Sampling
    4. 1.3Levels of Measurement
    5. 1.4Experimental Design and Ethics
    6. Practice
  3. 2Descriptive Statistics9 pages
    1. Introduction
    2. 2.1Display Data
    3. 2.2Measures of the Location of the Data
    4. 2.3Measures of the Center of the Data
    5. 2.4Sigma Notation and Calculating the Arithmetic Mean
    6. 2.5Geometric Mean
    7. 2.6Skewness and the Mean, Median, and Mode
    8. 2.7Measures of the Spread of the Data
    9. Practice
  4. 3Probability Topics7 pages
    1. Introduction
    2. 3.1Terminology
    3. 3.2Independent and Mutually Exclusive Events
    4. 3.3Two Basic Rules of Probability
    5. 3.4Contingency Tables and Probability Trees
    6. 3.5Venn Diagrams
    7. Practice
  5. 4Discrete Random Variables6 pages
    1. Introduction
    2. 4.1Hypergeometric Distribution
    3. 4.2Binomial Distribution
    4. 4.3Geometric Distribution
    5. 4.4Poisson Distribution
    6. Practice
  6. 5Continuous Random Variables5 pages
    1. Introduction
    2. 5.1Properties of Continuous Probability Density Functions
    3. 5.2The Uniform Distribution
    4. 5.3The Exponential Distribution
    5. Practice
  7. 6The Normal Distribution5 pages
    1. Introduction
    2. 6.1The Standard Normal Distribution
    3. 6.2Using the Normal Distribution
    4. 6.3Estimating the Binomial with the Normal Distribution
    5. Practice
  8. 7The Central Limit Theorem6 pages
    1. Introduction
    2. 7.1The Central Limit Theorem for Sample Means
    3. 7.2Using the Central Limit Theorem
    4. 7.3The Central Limit Theorem for Proportions
    5. 7.4Finite Population Correction Factor
    6. Practice
  9. 8Confidence Intervals6 pages
    1. Introduction
    2. 8.1A Confidence Interval When the Population Standard Deviation Is Known or Large Sample Size
    3. 8.2A Confidence Interval When the Population Standard Deviation Is Unknown and Small Sample Case
    4. 8.3A Confidence Interval for A Population Proportion
    5. 8.4Calculating the Sample Size n: Continuous and Binary Random Variables
    6. Practice
  10. 9Hypothesis Testing with One Sample6 pages
    1. Introduction
    2. 9.1Null and Alternative Hypotheses
    3. 9.2Outcomes and the Type I and Type II Errors
    4. 9.3Probability Distribution Needed for Hypothesis Testing
    5. 9.4Full Hypothesis Test Examples
    6. Practice
  11. 10Hypothesis Testing with Two Samples8 pages
    1. Introduction
    2. 10.1Comparing Two Independent Population Means
    3. 10.2Cohen's Standards for Small, Medium, and Large Effect Sizes
    4. 10.3Test for Differences in Means: Assuming Equal Population Variances
    5. 10.4Comparing Two Independent Population Proportions
    6. 10.5Two Population Means with Known Standard Deviations
    7. 10.6Matched or Paired Samples
    8. Practice
  12. 11The Chi-Square Distribution8 pages
    1. Introduction
    2. 11.1Facts About the Chi-Square Distribution
    3. 11.2Test of a Single Variance
    4. 11.3Goodness-of-Fit Test
    5. 11.4Test of Independence
    6. 11.5Test for Homogeneity
    7. 11.6Comparison of the Chi-Square Tests
    8. Practice
  13. 12F Distribution and One-Way ANOVA6 pages
    1. Introduction
    2. 12.1Test of Two Variances
    3. 12.2One-Way ANOVA
    4. 12.3The F Distribution and the F-Ratio
    5. 12.4Facts About the F Distribution
    6. Practice
  14. 13Linear Regression and Correlation9 pages
    1. Introduction
    2. 13.1The Correlation Coefficient r
    3. 13.2Testing the Significance of the Correlation Coefficient
    4. 13.3Linear Equations
    5. 13.4The Regression Equation
    6. 13.5Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
    7. 13.6Predicting with a Regression Equation
    8. 13.7How to Use Microsoft Excel® for Regression Analysis
    9. Practice
  15. Appendices2 pages
    1. AStatistical Tables
    2. BMathematical Phrases, Symbols, and Formulas