book

A Guide to Business Statistics

by David M. McEvoy

April 2018

Beginner

208 pages

5h 53m

English

Wiley

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Addressing Two ChallengesHow to Use This BookTarget Audience
1.1 Categorical Data1.2 Numerical Data1.3 Level of Measurement1.4 Cross-Sectional, Time-Series, and Panel Data1.5 Summary
2.1 What is the Population of Interest?2.2 How to Sample From a Population?2.3 Getting the Data2.4 Summary
3.1 Measures of Central Tendency3.2 Measures of Variability3.3 The Shape3.4 SummaryTechnical Appendix
4.1 Simple Probabilities4.3 Conditional Probabilities4.4 SummaryTechnical Appendix
5.1 The Bell Shape5.2 The Empirical Rule5.3 Standard Normal Distribution5.4 Normal Approximations5.5 SummaryTechnical Appendix

6.1 Defining a Sampling Distribution6.2 The Importance of Sampling Distributions6.3 An Example of a Sampling Distribution6.4 Characteristics of a Sampling Distribution of a Mean6.5 Sampling Distribution of a Proportion6.6 SummaryTechnical Appendix
7.1 Confidence Intervals for Means7.2 Confidence Intervals for Proportions7.3 Sample Size and the Width of Confidence Intervals7.4 Comparing Two Proportions From the Same Poll7.5 SummaryTechnical Appendix
8.1 Two-Tail Hypothesis Test of a Mean8.2 One-Tail Hypothesis Test of a Mean8.3 -Value Approach to Hypothesis Tests8.4 SummaryTechnical Appendix
9.1 Two-Tail Hypothesis Test of a Proportion9.2 One-Tail Hypothesis Test of a Proportion9.3 Using -Values9.4 Chi-Square Tests9.5 SummaryTechnical Appendix
10.1 The Approach in this Chapter10.2 Hypothesis Tests of Two Means10.3 Hypothesis Tests of Two Variances10.4 Hypothesis Tests of Two Proportions10.5 SummaryTechnical Appendix
11.1 The Population Regression Model11.2 A Look at the Data11.3 Ordinary Least Squares (OLS)11.4 The Distribution of and 11.5 Tests of Significance11.6 Goodness of Fit11.7 Checking for Violations of the Assumptions11.8 SummaryTechnical Appendix
12.1 Population Regression Model12.2 The Data12.3 Sample Regression Function12.4 Interpreting the Estimates12.5 Prediction12.6 Tests of Significance12.7 Goodness of Fit12.8 Multicollinearity12.9 SummaryTechnical Appendix
13.1 Hypothesis Tests Comparing Two Means With Regression13.2 Hypothesis Tests Comparing More Than Two Means (ANOVA)13.3 Interacting Variables13.4 Nonlinearities13.5 Time-Series Analysis13.6 Summary

Overview

An accessible text that explains fundamental concepts in business statistics that are often obscured by formulae and mathematical notation

A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae.

The author—an expert in the field—offers concise and straightforward explanations to the core principles and techniques in business statistics. The concepts are introduced through examples, and the text is designed to be accessible to readers with a variety of backgrounds. To enhance learning, most of the mathematical formulae and notation appears in technical appendices at the end of each chapter. This important resource:

• Offers a comprehensive guide to understanding business statistics targeting business and economics students and professionals

• Introduces the concepts and techniques through concise and intuitive examples

• Focuses on understanding by moving distracting formulae and mathematical notation to appendices

• Offers intuition, insights, humor, and practical advice for students of business statistics

• Features coverage of sampling techniques, descriptive statistics, probability, sampling distributions, confidence intervals, hypothesis tests, and regression

Written for undergraduate business students, business and economics majors, teachers, and practitioners, A Guide to Business Statistics offers an accessible guide to the key concepts and fundamental principles in statistics.

DAVID M. McEVOY, PhD, is an Associate Professor in the Economics Department at Appalachian State University in Boone NC. He has published over 20 peer-reviewed articles and is coeditor of two books. Dr. McEvoy is an award-winning educator who has taught undergraduate courses in business statistics for over 10 years.

DAVID M. McEVOY, PhD, is an Associate Professor in the Economics Department at Appalachian State University in Boone NC. He has published over 20 peer-reviewed articles and is coeditor of two books. Dr. McEvoy is an award-winning educator who has taught undergraduate courses in business statistics for over 10 years.An accessible text that explains fundamental concepts

in business statistics that are often obscured by formulae and mathematical notation

A Guide to Business Statistics offers a practical approach to statistics that covers the fundamental concepts in business and economics. The book maintains the level of rigor of a more conventional textbook in business statistics but uses a more streamlined and intuitive approach. In short, A Guide to Business Statistics provides clarity to the typical statistics textbook cluttered with notation and formulae.