Business statistics : a first course / David M. Levine, Kathryn A. Szabat, David F. Stephan.

Format:

Book

Author/Creator:

Levine, David M., 1946- author.

Szabat, Kathryn A., author.

Stephan, David, author.

Series:

Always learning.

Always learning

Language:

English

Subjects (All):

Commercial statistics.

Genre:

Libros electrónicos.

Physical Description:

1 online resource (604 pages) : illustrations (some color), tables

Edition:

Seventh, Global edition.

Place of Publication:

Boston : Pearson, [2016]

Summary:

Statistics is essential for all business majors, and this text helps students see the role statistics will play in their own careers by providing examples drawn from all functional areas of business. Guided by principles set by major statistical and business science associations (ASA and DSI), plus the authors' diverse experiences, the Seventh Edition of Levine/Szabat/Stephan's Business Statistics: A First Course continues to innovate and improve the way this course is taught to all students. This brief version, created to fit the needs of a one-semester course, is part of the established Berenson/Levine series. MyStatLab not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab is an online homework, tutorial, and assessment product designed to personalize learning and improve results. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts..

Contents:

Cover

Dedication

About the Authors

Brief Contents

Contents

Preface

Getting Started: Important Things to Learn First

Using Statistics: "You Cannot Escape from Data"

GS.1 Statistics: A Way of Thinking

GS.2 Data: What is it?

Statistics

GS.3 The Changing Face of Statistics

Business Analytics

"Big Data"

Integral Role of Software in Statistics

GS.4 Statistics: An Important Part of Your Business Education

Making Best Use of This Book

Making Best Use of the Software Guides

References

Key Terms

Excel Guide

EG.1 Getting Started with Microsoft Excel

EG.2 Entering Data

Minitab Guide

MG.1 Getting Started with Minitab

MG.2 Entering Data

Chapter 1: Defining and Collecting Data

Using Statistics: Beginning of the End ... Or the End of the Beginning?

1.1 Defining Variables

Classifying Variables by Type

1.2 Collecting Data

Data Sources

Populations and Samples

Structured Versus Unstructured Data

Electronic Formats and Encodings

Data Cleaning

Recoding Variables

1.3 Types of Sampling Methods

Simple Random Sample

Systematic Sample

Stratified Sample

Cluster Sample

1.4 Types of Survey Errors

Coverage Error

Nonresponse Error

Sampling Error

Measurement Error

Ethical Issues About Surveys

Think About This: New Media Surveys/Old Sampling Problems

Using Statistics: Beginning of the End... Revisited

Summary

Checking Your Understanding

Chapter Review Problems

Cases for Chapter1

Managing Ashland MultiComm Services

CardioGood Fitness

Clear Mountain State Student Surveys

Learning with the Digital Cases

Chapter 1 Excel Guide

EG1.1 Defining Variables

EG1.2 Collecting Data

EG1.3 Types of Sampling Methods

Chapter 1 Minitab Guide

MG1.1 Defining Variables

MG1.2 Collecting Data.

MG1.3 Types of Sampling Methods

Chapter 2: Organizing and Visualizing Variables

Using Statistics: The Choice is Yours

2.1 Organizing Categorical Variables

The Summary Table

The Contingency Table

2.2 Organizing Numerical Variables

The Ordered Array

The Frequency Distribution

Classes and Excel Bins

The Relative Frequency Distribution and the Percentage Distribution

The Cumulative Distribution

Stacked and Unstacked Data

2.3 Visualizing Categorical Variables

The Bar Chart

The Pie Chart

The Pareto Chart

The Side-by-Side Bar Chart

2.4 Visualizing Numerical Variables

The Stem-and-Leaf Display

The Histogram

The Percentage Polygon

The Cumulative Percentage Polygon (Ogive)

2.5 Visualizing Two Numerical Variables

The Scatter Plot

The Time-Series Plot

2.6 Organizing and Visualizing a Set of Variables

Multidimensional Contingency Tables

Data Discovery

2.7 The Challenge in Organizing and Visualizing Variables

Obscuring Data

Creating False Impressions

Chartjunk

Best Practices for Constructing Visualizations

Using Statistics: The Choice is Yours, Revisited

Key Equations

Cases for Chapter 2

Digital Case

The Choice is Yours Follow-Up

Chapter 2 Excel Guide

EG2.1 Organizing Categorical Variables

EG2.2 Organizing Numerical Variables

EG2.3 Visualizing Categorical Variables

EG2.4 Visualizing Numerical Variables

EG2.5 Visualizing Two Numerical Variables

EG2.6 Organizing and Visualizing a Set of Variables

Chapter 2 Minitab Guide

MG2.1 Organizing Categorical Variables

MG2.2 Organizing Numerical Variables.

MG2.3 Visualizing Categorical Variables

MG2.4 Visualizing Numerical Variables

MG2.5 Visualizing Two Numerical Variables

MG2.6 Organizing and Visualizing a Set of Variables

Chapter 3: Numerical Descriptive Measures

Using Statistics: More Descriptive Choices

3.1 Central Tendency

The Mean

The Median

The Mode

3.2 Variation and Shape

The Range

The Variance and the Standard Deviation

The Coefficient of Variation

Z Scores

Shape: Skewness

Shape: Kurtosis

3.3 Exploring Numerical Data

Quartiles

The Interquartile Range

The Five-Number Summary

The Boxplot

3.4 Numerical Descriptive Measures for a Population

The Population Mean

The Population Variance and Standard Deviation

The Empirical Rule

The Chebyshev Rule

3.5 The Covariance and the Coefficient of Correlation

The Covariance

The Coefficient of Correlation

3.6 Descriptive Statistics: Pitfalls and Ethical Issues

Using Statistics: More Descriptive Choices, Revisited

Cases for Chapter 3

More Descriptive Choices Follow-up

Chapter 3 Excel Guide

EG3.1 Central Tendency

EG3.2 Variation and Shape

EG3.3 Exploring Numerical Data

EG3.4 Numerical Descriptive Measures for a Population

EG3.5 The Covariance and the Coefficient of Correlation

Chapter 3 Minitab Guide

MG3.1 Central Tendency

MG3.2 Variation and Shape

MG3.3 Exploring Numerical Data

MG3.4 Numerical Descriptive Measures for a Population

MG3.5 The Covariance and the Coefficient of Correlation

Chapter 4: Basic Probability

Using Statistics: Possibilities at M&R Electronics World.

4.1 Basic Probability Concepts

Events and Sample Spaces

Contingency Tables and Venn Diagrams

Simple Probability

Joint Probability

Marginal Probability

General Addition Rule

4.2 Conditional Probability

Computing Conditional Probabilities

Decision Trees

Independence

Multiplication Rules

Marginal Probability Using the General Multiplication Rule

4.3 Bayes' Theorem

Think About This Divine Providence and Spam

4.4 Counting Rules

4.5 Ethical Issues and Probability

Using Statistics: Possibilities at M&R Electronics World, Revisited

Cases for Chapter 4

Chapter 4 Excel Guide

EG4.1 Basic Probability Concepts

EG4.2 Conditional Probability

EG4.3 Bayes' Theorem

EG4.4 Counting Rules

Chapter 4 Minitab Guide

MG4.1 Basic Probability Concepts

MG4.2 Conditional Probability

MG4.3 Bayes' Theorem

MG4.4 Counting Rules

Chapter 5: Discrete Probability Distributions

Using Statistics: Events of Interest at Ricknel Home Centers

5.1 The Probability Distribution for a Discrete Variable

Expected Value of a Discrete Variable

Variance and Standard Deviation of a Discrete Variable

5.2 Binomial Distribution

5.3 Poisson Distribution

Using Statistics: Events of Interest at Ricknel Home Centers, Revisited

Cases for Chapter 5

Chapter 5 Excel Guide

EG5.1 The Probability Distribution for a Discrete Variable

EG5.2 Binomial Distribution

EG5.3 Poisson Distribution

Chapter 5 Minitab Guide.

MG5.1 The Probability Distribution for a Discrete Variable

MG5.2 B inomial Distribution

MG5.3 Poisson Distribution

Chapter 6: The Normal Distribution

Using Statistics: Normal Downloading at MyTVLab

6.1 Continuous Probability Distributions

6.2 The Normal Distribution

Computing Normal Probabilities

Finding X Values

Visual Explorations: Exploring the Normal Distribution

Think About This What is Normal?

6.3 Evaluating Normality

Comparing Data Characteristics to Theoretical Properties

Constructing the Normal Probability Plot

Using Statistics: Normal Downloading at MyTVLab, Revisited

Cases for Chapter 6

Chapter 6 Excel Guide

EG6.1 Continuous Probability Distributions

EG6.2 The Normal Distribution

EG6.3 Evaluating Normality

Chapter 6 Minitab Guide

MG6.1 Continuous Probability Distributions

MG6.2 The Normal Distribution

MG6.3 Evaluating Normality

Chapter 7: Sampling Distributions

Using Statistics: Sampling Oxford Cereals

7.1 Sampling Distributions

7.2 Sampling Distribution of the Mean

The Unbiased Property of the Sample Mean

Standard Error of the Mean

Sampling from Normally Distributed Populations

Sampling from Non-normally Distributed Populations-The Central Limit Theorem

Visual Explorations: Exploring Sampling Distributions

7.3 Sampling Distribution of the Proportion

Using Statistics: Sampling Oxford Cereals, Revisited

Cases for Chapter 7

Managing Ashland MultiComm Services.

Digital Case.

Notes:

Includes index.

Description based on print version record.

ISBN:

1-292-09602-0

OCLC:

1027159150