Basic Statistics for Business and Economics with Student CD-ROM

, by Lind, Douglas A.; Marchal, William G.; Wathen, Samuel Adam

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

ISBN: 9780073121659 | 0073121657
Cover: Hardcover
Copyright: 1/18/2005

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The Fifth Edition of Basic Statistics for Business and Economics is a shorter version of Lind/Marchal/Wathen's Statistical Techniques in Business and Economics, 12e. The authors of this text continue to provide a student-oriented approach to business statistics. In this book you will find step-by-step solved examples, realistic exercises, and up-to-date technology and illustrations. Book jacket.

What Is Statistics?

(22)

Introduction

(1)

Why Study Statistics?

(2)

What Is Meant by Statistics?

(2)

Types of Statistics

(3)

Descriptive Statistics

(1)

Inferential Statistics

(2)

Types of Variables

(1)

Levels of Measurement

(5)

Nominal-Level Data

(1)

Ordinal-Level Data

(1)

Interval-Level Data

(1)

Ratio-Level Data

(2)

Exercises

(1)

Statistics, Graphics, and Ethics

(3)

Misleading Statistics

(1)

Association Does Not Necessarily Imply Causation

(1)

Graphs Can Be Misleading

(1)

Become a Better Consumer and a Better Producer of Information

(1)

Ethics

(1)

Software Applications

(1)

Chapter Outline

(1)

Chapter Exercises

(1)

exercises.com

(1)

Dataset Exercises

(1)

Answers to Self-Review

(1)

Describing Data: Frequency Distributions and Graphic Presentation

(34)

Introduction

(1)

Constructing a Frequency Distribution

(4)

Class Intervals and Class Midpoints

(1)

A Software Example

(1)

Relative Frequency Distribution

(1)

Exercises

(1)

Graphic Presentation of a Frequency Distribution

(5)

Histogram

(2)

Frequency Polygon

(3)

Exercises

(4)

Cumulative Frequency Distributions

(3)

Exercises

(1)

Other Graphic Presentations of Data

(4)

Line Graphs

(1)

Bar Charts

(1)

Pie Charts

(2)

Exercises

(1)

Chapter Outline

(1)

Chapter Exercises

(5)

exercises.com

(1)

Dataset Exercises

(1)

Software Commands

(2)

Answers to Self-Review

(1)

Describing Data: Numerical Measures

(36)

Introduction

(1)

The Population Mean

(1)

The Sample Mean

(1)

Properties of the Arithmetic Mean

(1)

Exercises

(1)

The Weighted Mean

(1)

Exercises

(1)

The Median

(1)

The Mode

(2)

Exercises

(1)

Software Solution

(1)

The Relative Positions of the Mean, Median, and Mode

(2)

Exercises

(1)

The Geometric Mean

(1)

Exercises

(1)

Why Study Dispersion?

(1)

Measures of Dispersion

(2)

Range

(1)

Mean Deviation

(1)

Exercises

(3)

Variance and Standard Deviation

(2)

Exercises

(1)

Software Solution

(1)

Exercises

(1)

Interpretation and Uses of the Standard Deviation

(2)

Chebyshev's Theorem

(1)

The Empirical Rule

(1)

Exercises

(1)

Chapter Outline

(2)

Pronunciation Key

(1)

Chapter Exercises

(3)

exercises.com

(1)

Dataset Exercises

(1)

Software Commands

(2)

Answers to Self-Review

(1)

Describing Data: Displaying and Exploring Data

(27)

Introduction

(1)

Dot Plots

(2)

Exercises

(1)

Quartiles, Deciles, and Percentiles

(3)

Exercises

100

(1)

Box Plots

100

(2)

Exercises

102

(1)

Skewness

103

(4)

Exercises

107

(1)

Describing the Relationship between Two Variables

107

(3)

Exercises

110

(2)

Chapter Outline

112

(1)

Pronunciation Key

112

(1)

Chapter Exercises

112

(4)

exercises.com

116

(1)

Dataset Exercises

116

(1)

Software Commands

117

(2)

Answers to Self-Review

119

(1)

A Survey of Probability Concepts

120

(36)

Introduction

121

(1)

What Is a Probability?

122

(2)

Approaches to Assigning Probabilities

124

(3)

Classical Probability

124

(1)

Empirical Probability

125

(1)

Subjective Probability

126

(1)

Exercises

127

(1)

Some Rules for Computing Probabilities

128

(5)

Rules of Addition

128

(5)

Exercises

133

(4)

Rules of Multiplication

134

(3)

Contingency Tables

137

(2)

Tree Diagrams

139

(2)

Exercises

141

(1)

Principles of Counting

142

(4)

The Multiplication Formula

142

(1)

The Permutation Formula

143

(2)

The Combination Formula

145

(1)

Exercises

146

(1)

Chapter Outline

147

(1)

Pronunciation Key

148

(1)

Chapter Exercises

148

(4)

exercises.com

152

(1)

Dataset Exercises

152

(1)

Software Commands

153

(1)

Answers to Self-Review

154

(2)

Discrete Probability Distributions

156

(29)

Introduction

157

(1)

What Is a Probability Distribution?

157

(2)

Random Variables

159

(1)

Discrete Random Variable

159

(1)

Continuous Random Variable

160

(1)

The Mean, Variance, and Standard Deviation of a Probability Distribution

160

(3)

Mean

160

(1)

Variance and Standard Distribution'

161

(2)

Exercises

163

(1)

Binomial Probability Distribution

164

(6)

How Is a Binomial Probability Distribution Computed

165

(2)

Binomial Probability Tables

167

(3)

Exercises

170

(3)

Cumulative Binomial Probability Distributions

172

(1)

Exercises

173

(1)

Poisson Probability Distribution

174

(3)

Exercises

177

(1)

Chapter Outline

177

(1)

Chapter Exercises

178

(4)

Dataset Exercises

182

(1)

Software Commands

182

(2)

Answers to Self-Review

184

(1)

Continuous Probability Distributions

185

(26)

Introduction

186

(1)

The Family of Uniform Distributions

186

(3)

Exercises

189

(1)

The Family of Normal Probability Distributions

190

(3)

The Standard Normal Distribution

193

(3)

The Empirical Rule

195

(1)

Exercises

196

(3)

Finding Areas under the Normal Curve

197

(2)

Exercises

199

(3)

Exercises

202

(2)

Exercises

204

(1)

Chapter Outline

204

(1)

Chapter Exercises

205

(3)

Dataset Exercises

208

(1)

Software Commands

209

(1)

Answers to Self-Review

210

(1)

Sampling Methods and the Central Limit Theorem

211

(34)

Introduction

212

(1)

Sampling Methods

212

(6)

Reasons to Sample

212

(1)

Simple Random Sampling

213

(3)

Systematic Random Sampling

216

(1)

Stratified Random Sampling

216

(1)

Cluster Sampling

217

(1)

Exercises

218

(4)

Sampling ``Error''

220

(2)

Sampling Distribution of the Sample Mean

222

(3)

Exercises

225

(1)

The Central Limit Theorem

226

(6)

Exercises

232

(1)

Using the Sampling Distribution of the Sample Mean

233

(4)

Exercises

237

(1)

Chapter Outline

237

(1)

Pronunciation Key

238

(1)

Chapter Exercises

238

(4)

exercises.com

242

(1)

Dataset Exercises

243

(1)

Software Commands

243

(1)

Answers to Self-Review

244

(1)

Estimation and Confidence Intervals

245

(31)

Introduction

246

(1)

Point Estimates and Confidence Intervals

246

(7)

Known σ or a Large Sample

246

(5)

A Computer Simulation

251

(2)

Exercises

253

(7)

Unknown Population Standard Deviation and a Small Sample

254

(6)

Exercises

260

(1)

A Confidence Interval for a Proportion

260

(3)

Exercises

263

(1)

Finite-Population Correction Factor

263

(1)

Exercises

264

(1)

Choosing an Appropriate Sample Size

265

(2)

Exercises

267

(1)

Chapter Outline

268

(1)

Pronunciation Key

269

(1)

Chapter Exercises

269

(3)

exercises.com

272

(1)

Dataset Exercises

273

(1)

Software Commands

273

(2)

Answers to Self-Review

275

(1)

One-Sample Tests of Hypothesis

276

(36)

Introduction

277

(1)

What Is a Hypothesis?

277

(1)

What Is Hypothesis Testing?

278

(1)

Five-Step Procedure for Testing a Hypothesis

278

(5)

Step 1: State the Null Hypothesis (Ho) and the Alternate Hypothesis (H1)

278

(1)

Step 2: Select a Level of Significance

279

(1)

Step 3: Select the Test Statistic

279

(2)

Step 4: Formulate the Decision Rule

281

(1)

Step 5: Make a Decision

282

(1)

One-Tailed and Two-Tailed Tests of Significance

283

(1)

Testing for a Population Mean with a Known Population Standard Deviation

284

(4)

A Two-Tailed Test

284

(4)

A One-Tailed Test

288

(1)

p-Value in Hypothesis Testing

288

(2)

Testing for a Population Mean: Large Sample, Population Standard Deviation Unknown

290

(1)

Exercises

291

(1)

Tests Concerning Proportions

292

(3)

Exercises

295

(1)

Testing for a Population Mean: Small Sample, Population Standard Deviation Unknown

295

(5)

Exercises

300

(3)

A Software Solution

301

(2)

Exercises

303

(1)

Chapter Outline

304

(1)

Pronunciation Key

305

(1)

Chapter Exercises

305

(4)

exercises.com

309

(1)

Dataset Exercises

309

(1)

Software Commands

310

(1)

Answers to Self-Review

311

(1)

Two-Sample Tests of Hypothesis

312

(32)

Introduction

313

(1)

Two-Sample Tests of Hypothesis: Independent Samples

313

(5)

Exercises

318

(1)

Two-Sample Tests about Proportions

319

(2)

Exercises

321

(2)

Comparing Population Means with Small Samples

323

(3)

Exercises

326

(1)

Two-Sample Tests of Hypothesis: Dependent Samples

327

(4)

Comparing Dependent and Independent Samples

331

(2)

Exercises

333

(1)

Chapter Outline

334

(1)

Pronunciation Key

335

(1)

Chapter Exercises

335

(5)

exercises.com

340

(1)

Dataset Exercises

341

(1)

Software Commands

341

(1)

Answers to Self-Review

342

(2)

Analysis of Variance

344

(30)

Introduction

345

(1)

The F Distribution

345

(1)

Comparing Two Population Variances

346

(3)

Exercises

349

(1)

Anova Assumptions

350

(2)

The Anova Test

352

(7)

Exercises

359

(1)

Inferences about Pairs of Treatment Means

360

(2)

Exercises

362

(2)

Chapter Outline

364

(1)

Pronunciation Key

365

(1)

Chapter Exercises

365

(5)

exercises.com

370

(1)

Dataset Exercises

370

(1)

Software Commands

371

(2)

Answers to Self-Review

373

(1)

Linear Regression and Correlation

374

(47)

Introduction

375

(1)

What Is Correlation Analysis?

375

(2)

The Coefficient of Correlation

377

(4)

The Coefficient of Determination

381

(1)

Correlation and Cause

382

(1)

Exercises

382

(2)

Testing the Significance of the Correlation Coefficient

384

(2)

Exercises

386

(1)

Regression Analysis

386

(4)

Least Squares Principle

386

(3)

Drawing the Line of Regression

389

(1)

Exercises

390

(2)

The Standard Error of Estimate

392

(3)

Assumptions Underlying Linear Regression

395

(1)

Exercises

396

(1)

Confidence and Prediction Intervals

396

(4)

Exercises

400

(1)

More on the Coefficient of Determination

400

(3)

Exercises

403

(1)

The Relationships among the Coefficient of Correlation, the Coefficient of Determination, and the Standard Error of Estimate

403

(2)

Transforming Data

405

(2)

Exercises

407

(1)

Chapter Outline

408

(2)

Pronunciation Key

410

(1)

Chapter Exercises

410

(7)

exercises.com

417

(1)

Dataset Exercises

417

(1)

Software Commands

418

(2)

Answers to Self-Review

420

(1)

Multiple Regression and Correlation Analysis

421

(43)

Introduction

422

(1)

Multiple Regression Analysis

422

(1)

Inferences in Multiple Linear Regression

423

(3)

Exercises

426

(2)

Multiple Standard Error of Estimate

428

(1)

Assumptions about Multiple Regression and Correlation

429

(1)

The Anova Table

430

(2)

Exercises

432

(1)

Evaluating the Regression Equation

432

(9)

Using a Scatter Diagram

432

(1)

Correlation Matrix

433

(1)

Global Test: Testing the Multiple Regression Model

434

(2)

Evaluating Individual Regression Coefficients

436

(3)

Qualitative Independent Variables

439

(2)

Exercises

441

(1)

Analysis of Residuals

442

(5)

Chapter Outline

447

(1)

Pronunciation Key

448

(1)

Chapter Exercises

448

(11)

exercises.com

459

(1)

Dataset Exercises

460

(1)

Software Commands

461

(2)

Answers to Self-Review

463

(1)

Chi-Square Applications

464

(61)

Introduction

464

(1)

Goodness-of-Fit Test: Equal Expected Frequencies

465

(5)

Exercises

470

(1)

Goodness-of-Fit Test: Unequal Expected Frequencies

471

(2)

Limitations of Chi-Square

473

(2)

Exercises

475

(271)

Contingency Table Analysis

746

Exercises

450

(31)

Chapter Outline

481

(1)

Pronunciation Key

481

(1)

Chapter Exercises

482

(2)

exercises.com

484

(1)

Dataset Exercises

485

(1)

Software Commands

486

(1)

Answers to Self-Review

487

(2)

Appendixes

Appendixes A--I Tables

Binomial Probability Distribution

489

(5)

Critical Values of Chi-Square

494

(1)

Poisson Distribution

495

(1)

Areas under the Normal Curve

496

(1)

Table of Random Numbers

497

(1)

Student's t Distribution

498

(1)

Critical Values of the F Distribution

499

(2)

Wilcoxon T Values

501

(1)

Factors for Control Charts

502

(1)

Appendixes J--N Datasets

Real Estate

503

(3)

Major League Baseball

506

(2)

Wages and Wage Eamers

508

(4)

CIA International Economic and Demographic Data

512

(3)

Whitner Autoplex

515

(1)

Appendix O Getting Started with Megastat

516

(4)

Appendix P Visual Statistics

520

(5)

Answers to Odd-Numbered Exercises

525

(27)

Photo Credits

552

(1)

Index

553

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Basic Statistics for Business and Economics with Student CD-ROM

Summary

Table of Contents

Supplemental Materials