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Introductory Statistics for Management and Economics

by: Kenkel, James L.

Introductory Statistics for Management and Economics

by: Kenkel, James L.

ISBN 13:
9780534203702
ISBN 10:
0534203701
Edition: 4th
Format: Paperback
Copyright: 11/15/1995
Publisher: Duxbury Press

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Summary

This text is intended for the two-term introductory statistics course for business and economics majors at the undergraduate or MBAlevel. College Algebra is a prerequisite. The author emphasizes statistical inference and model-building in a real-world context andpresents a complete introduction to regression and forecasting. Statistical software output from SPSSÂ®, MINITAB'„¢, and SASÂ® is includedin each chapter's Computer Applications section to aid students in understanding and interpreting statistical output.

What Statistics is All About

(6)

The Role of Statistics

(5)

Case Study: A Study Using Descriptive Statistics

(2)

A Word About Computers

(1)

Data Collection and Sampling Theory

(35)

Populations, Samples, and Types of Data

(6)

Reasons for Sampling and Sources of Bias

(6)

Types of Samples

(3)

Computer Analysis of Multivariate Data Sets

(20)

Case Study: Firesafing Problems at the Mellon Bank Building

(1)

Case Study: Internal Revenue Service vs. the Pittsburgh Press Club

(1)

Supplementary Exercises

(3)

Summarizing Data in Tables and Graphs

(35)

Frequency Distributions and Histograms

(16)

Common Shapes of Distributions

(5)

Lying with Statistics (Optional)

(1)

The Stem-and-Leaf Diagram (Optional)

(3)

Computer Applications

(9)

Supplementary Exercises

(4)

Summary Statistics: Measures of Location and Dispersion

(56)

Summation Notation

(3)

The Mean, the Median, and the Mode

(10)

Quartiles and Percentiles

(4)

Measures of Dispersion

(13)

The Empiricial Rule and Standardized Scores

108

(7)

Construction of Box Plots (Optional)

115

(4)

Computer Applications

119

(14)

Case Study: Paint Problems on the Mellon Bank Building

122

(1)

Supplementary Exercises

123

(10)

Introduction to Probability

133

(59)

Experiments, Outcomes, Events, and Sample Spaces

133

(3)

Assigning Probabilities to Events

136

(6)

Some Basic Rules of Probability

142

(3)

Probabilities of Compound Events

145

(8)

Conditional Probability

153

(8)

Independence

161

(6)

Bayes' Theorem (Optional)

167

(5)

Counting Techniques

172

(7)

Computer Applications

179

(13)

Supplementary Exercises

182

(10)

Discrete Probability Distributions

192

(28)

Random Variables

192

(3)

Properties of Discrete Probability Distributions

195

(4)

Cumulative Distribution Function

199

(3)

Expected Value of a Discrete Random Variable

202

(6)

Variance of a Discrete Random Variable

208

(5)

Computer Applications

213

(7)

Supplementary Exercises

214

(6)

Some Important Discrete Distributions

220

(28)

The Binomial Distribution

220

(11)

The Poisson Distribution

231

(17)

Supplementary Exercises

239

(9)

Some Useful Continuous Probability Distributions

248

(40)

Properties of Continuous Probability Distributions

248

(6)

The Uniform Distribution

254

(4)

The Normal Distribution

258

(8)

Calculating Areas Under Any Normal Curve

266

(6)

The Normal Distribution As an Approximation to the Binomial Distribution

272

(16)

Case Study: Examining Loss of Intelligence As a Result of an Injury

278

(1)

Supplementary Exercises

279

(9)

Sampling Theory and Some Important Sampling Distributions

288

(51)

Introduction to Sampling Distributions

289

(10)

Sampling Distribution of the Sample Mean

299

(11)

The Central Limit Theorem

310

(6)

Sampling Distribution of the Difference Between Two Sample Means

316

(5)

Sampling Distribution of the Sample Proprtion

321

(6)

Sampling Distribution of the Difference Between Sample Proportions

327

(3)

Computer Applications

330

(9)

Case Study: Examining the Sulfur Content of Coal

331

(1)

Supplementary Exercises

332

(7)

Estimating and Constructing Confidence Intervals

339

(52)

Interval Estimation

339

(3)

Confidence Intervals for the Mean with Known Population Variance

342

(10)

Student's t Distribution

352

(5)

Confidence Intervals for the Mean with Unknown Population Variance

357

(9)

Confidence Intervals for Proportions (Large Samples)

366

(6)

Determining the Sample Size

372

(5)

Confidence Intervals for the Difference of Two Means

377

(4)

Confidence Intervals for the Difference of Two Population Proportions

381

(2)

Computer Applications

383

(8)

Supplementary Exercises

384

(7)

Hypothesis Testing

391

(85)

Concepts of Hypothesis Testing

392

(13)

Testing Hypotheses About a Population Mean When Variance Is Known

405

(14)

p-Values: Interpretation and Use

419

(6)

Testing Hypotheses About a Population Mean with Large Sample Sizes

425

(3)

Testing Hypotheses About the Mean of a Normal Population with Unknown Variance

428

(5)

Tests of the Population Proportion

433

(5)

Measuring the Power of a Test (Optional)

438

(23)

The Chi-Square Distribution

461

(3)

Testing Hypotheses and Constructing Confidence Intervals About a Population Variance

464

(5)

Computer Applications

469

(7)

Supplementary Exercises

470

(6)

Tests of Hypotheses Involving Two Populations

476

(33)

Tests for the Differences of Means

476

(4)

Tests of Differences of Means Using Small Samples from Normal Populations When the Population Variances Are Equal but Unknown

480

(6)

Tests for Differences of Means of Paired Samples

486

(4)

Tests Concerning Differences of Proportions

490

(3)

The F Distribution

493

(4)

Testing Hypotheses and Constructing Confidence Intervals for Two Population Variances

497

(4)

Computer Applications

501

(8)

Case Study: Paint Problems on the Mellon Bank Building

502

(1)

Supplementary Exercises

503

(6)

Chi-Square Tests

509

(37)

The Chi-Square Goodness-of-Fit Test

509

(11)

Tests of Independence and Contingency Tables

520

(10)

Computer Applications

530

(16)

Case Study: Testing for Age Discrimination

534

(3)

Supplementary Exercises

537

(9)

Analysis of Variance

546

(38)

The One-Factor ANOVA Model

546

(19)

The Statistical Model for One-Way ANOVA

565

(9)

Computer Applications

574

(10)

Supplementary Exercises

577

(7)

Regression and Correlation

584

(83)

Stochastic Relationships and Scatter Diagrams

584

(9)

The Simple Linear Regression Model

593

(4)

Method of Least Squares

597

(12)

Explanatory Power of a Linear Regression Equation

609

(6)

Estimating Variances of Estimated Coefficients in the Regression Model

615

(6)

Hypothesis Testing in the Linear Regression Model

621

(8)

Confidence Intervals for the Regression Coefficients

629

(5)

Prediction Using the Regression Model

634

(7)

The Correlation Coefficient

641

(14)

Computer Applications

655

(12)

Case Study: Paint Problems on the Mellon Bank Building

658

(1)

Supplementary Exercises

659

(8)

Multiple Regression Models

667

(1)

Models with Two Explanatory Variables

667

(42)

The General Multiple Regression Model

676

(7)

Measuring Goodness of Fit

683

(4)

Confidence Intervals and Tests of Hypotheses Concerning the Regression Coefficients

687

(9)

The Multicollinearity Problem

696

(5)

Computer Applications

701

(8)

Case Study: Estimating the Value of Coal Used by a Nationwide Steel Company

704

(1)

Supplementary Exercises

705

(4)

Special Topics in Multiple Regression Analysis

709

(48)

Models Involving Polynomials

709

(5)

Dummy Variables in Regression Models

714

(20)

Estimating Equations in Logarithmic Form

734

(4)

Stepwise Regression

738

(7)

The Correlation Matrix

745

(6)

Computer Applications

751

(6)

Supplementary Exercises

752

(5)

Residual Analysis and Violations of the Basic Assumptions

757

(56)

Searching for Model Inadequacies

757

(4)

Violations of Basic Assumption 1: Nonnormal Errors

761

(1)

Violations of Basic Assumption 2: Nonzero Mean

762

(10)

Violations of Basic Assumption 3: Heteroscedasticity

772

(12)

Violations of Basic Assumption 4: Serial Correlation

784

(17)

Violations of Basic Assumption 5: Correlation Between Errors and Explanatory Variables

801

(2)

Interpreting the Results of a Regression Model

803

(2)

Computer Applications

805

(8)

Supplementary Exercises

807

(6)

Time Series Analysis I: Estimation of the Trend Component

813

(54)

Components of a Time Series

813

(12)

The Linear Trend Model

825

(11)

The Polynomial Trend Model

836

(5)

The Exponential Trend Model

841

(5)

Autoregressive Forecasting Models

846

(5)

Measuring Forecasting Accuracy

851

(7)

Computer Applications

858

(9)

Case Study: Estimating Lost Profits for a Regional Electrical Contractor

860

(2)

Supplementary Exercises

862

(5)

Time Series Analysis II: Estimation of the Seasonal Component

867

(34)

Seasonal Adjustment by Using Moving Averages

867

(10)

Seasonal Adjustment by Using Dummy Variables

877

(6)

Seasonal Adjustment by Using the Ratio-to-Trend Method

883

(5)

Exponential Smoothing

888

(13)

Supplementary Exercises

898

(3)

Some Nonparametric Tests

901

(44)

The Sign Test

902

(4)

The Mann--Whitney Test

906

(6)

The Wilcoxon Signed-Rank Test

912

(6)

The Kruskal--Wallis Test

918

(4)

The Runs Test

922

(6)

Rank Correlation

928

(6)

Computer Applications

934

(11)

Supplementary Exercises

939

(6)

Introduction to Statistical Decision Theory

945

(33)

Payoff Tables and Opportunity Loss Tables

945

(7)

Criteria for Making Decisions

952

(10)

Utility Theory and the Expected Utility Criterion

962

(9)

Decision Tree Analysis

971

(7)

Supplementary Exercises

975

(3)

Quality Control

978

(58)

Introduction

978

(6)

Some Patterns That Reveal Assignable Causes of Variation

984

(6)

x-Chart to Monitor the Process Mean

990

(21)

R-Chart to Monitor Process Variation

1011

(8)

p-Chart to Monitor Proportion of Defectives

1019

(17)

Supplementary Exercises

1032

(4)

Appendix A Statistical Tables

1036

(29)

Appendix B Answers to Selected Exercises

1065

(26)

Index

1091

Amazon no longer offers textbook rentals. We do!

Introductory Statistics for Management and Economics

Introductory Statistics for Management and Economics

9780534203702

0534203701

Summary

Table of Contents

Supplemental Materials

Write a Review

Amazon no longer offers textbook rentals. We do!

Introductory Statistics for Management and Economics

Introductory Statistics for Management and Economics

9780534203702

0534203701

Summary

Table of Contents

Supplemental Materials

Write a Review

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