Cart
Free US shipping over $10
Proud to be B-Corp

Business Statistics Ken Black (University of Houston, Clear Lake, TX)

Business Statistics By Ken Black (University of Houston, Clear Lake, TX)

Business Statistics by Ken Black (University of Houston, Clear Lake, TX)


$81.09
Condition - New
Only 2 left

Business Statistics Summary

Business Statistics: For Contemporary Decision Making by Ken Black (University of Houston, Clear Lake, TX)

Business Statistics continues the tradition of presenting and explaining the wonders of business statistics through a clear, complete, student-friendly pedagogy.

In this 10th edition, author Ken Black uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.

Table of Contents

Preface vii

About the Author xv

1 Introduction to Statistics and Business Analytics 1

Decision Dilemma: Statistics Describe the State of Business in India's Countryside 1

1.1 Basic Statistical Concepts 3

1.2 Data Measurement 6

1.3 Introduction to Business Analytics 9

Thinking Critically About Statistics in Business Today 15

Decision Dilemma Solved 15

Ethical Considerations 15

Summary / Key Terms / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Digiorno Pizza: Introducing a Frozen Pizza to Compete with Carry-Out 20

Big Data Case 20

References 21

2 Visualizing Data with Charts and Graphs 22

Decision Dilemma: Container Shipping Companies 22

2.1 Frequency Distributions 24

2.2 Quantitative Data Graphs 27

2.3 Qualitative Data Graphs 34

Thinking Critically About Statistics in Business Today 38

2.4 Charts and Graphs for Two Variables 41

2.5 Visualizing Time-Series Data 44

Decision Dilemma Solved 47

Ethical Considerations 48

Summary / Key Terms / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Southwest Airlines 54

Big Data Case 55

3 Descriptive Statistics 56

Decision Dilemma: Laundry Statistics 56

3.1 Measures of Central Tendency 57

3.2 Measures of Variability 65

Thinking Critically About Statistics in Business Today 67

Thinking Critically About Statistics in Business Today 76

3.3 Measures of Shape 78

3.4 Business Analytics Using Descriptive Statistics 81

Decision Dilemma Solved 84

Ethical Considerations 84

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Coca-Cola Develops the African Market 89

Big Data Case 91

4 Probability 92

Decision Dilemma: Equity of the Sexes in the Workplace 92

4.1 Introduction to Probability 93

4.2 Structure of Probability 96

4.3 Marginal, Union, Joint, and Conditional Probabilities 101

Thinking Critically About Statistics in Business Today 102

4.4 Addition Laws 103

4.5 Multiplication Laws 110

4.6 Conditional Probability 115

Thinking Critically About Statistics in Business Today 118

4.7 Revision of Probabilities: Bayes' Rule 121

Decision Dilemma Solved 125

Ethical Considerations 126

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Colgate-Palmolive Makes a Total Effort 131

Big Data Case 131

5 Discrete Distributions 132

Decision Dilemma: Life with a Cell Phone 132

5.1 Discrete Versus Continuous Distributions 133

5.2 Describing a Discrete Distribution 135

5.3 Binomial Distribution 138

Thinking Critically About Statistics in Business Today 147

5.4 Poisson Distribution 149

Thinking Critically About Statistics in Business Today 153

5.5 Hypergeometric Distribution 157

Decision Dilemma Solved 161

Ethical Considerations 162

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Whole Foods Market Grows Through Mergers and Acquisitions 168

Big Data Case 168

6 Continuous Distributions 169

Decision Dilemma: CSX Corporation 169

6.1 The Uniform Distribution 171

6.2 Normal Distribution 175

Thinking Critically About Statistics in Business Today 185

6.3 Using the Normal Curve to Approximate Binomial Distribution Problems 187

Thinking Critically About Statistics in Business Today 193

6.4 Exponential Distribution 194

Decision Dilemma Solved 197

Ethical Considerations 198

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: USAA 203

Big Data Case 203

7 Sampling and Sampling Distributions 205

Decision Dilemma: Toro 205

7.1 Sampling 206

Thinking Critically About Statistics in Business Today 208

Thinking Critically About Statistics in Business Today 214

7.2 Sampling Distribution of x 217

7.3 Sampling Distribution of p 227

Decision Dilemma Solved 230

Ethical Considerations 230

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: 3M 234

Big Data Case 235

8 Statistical Inference: Estimation for Single Populations 236

Decision Dilemma: Batteries and Bulbs: How Long Do They Last? 236

8.1 Estimating the Population Mean Using the z Statistic ( Known) 238

8.2 Estimating the Population Mean Using the t Statistic ( Unknown) 245

Thinking Critically About Statistics in Business Today 250

8.3 Estimating the Population Proportion 251

Thinking Critically About Statistics in Business Today 252

8.4 Estimating the Population Variance 255

8.5 Estimating Sample Size 259

Decision Dilemma Solved 262

Ethical Considerations 263

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: The Container Store 267

Big Data Case 268

9 Statistical Inference: Hypothesis Testing for Single Populations 269

Decision Dilemma: Valero Energy 269

9.1 Introduction to Hypothesis Testing 270

Thinking Critically About Statistics in Business Today 273

9.2 Testing Hypotheses About a Population Mean Using the z Statistic ( Known) 279

9.3 Testing Hypotheses About a Population Mean Using the t Statistic ( Unknown) 287

9.4 Testing Hypotheses About a Proportion 294

Thinking Critically About Statistics in Business Today 297

9.5 Testing Hypotheses About a Variance 300

9.6 Solving for Type II Errors 303

Decision Dilemma Solved 311

Ethical Considerations 312

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Frito-Lay Targets the Hispanic Market 316

Big Data Case 317

10 Statistical Inferences About Two Populations 318

Decision Dilemma: L. L. Bean 318

10.1 Hypothesis Testing and Confidence Intervals About the Difference in Two Means Using the z Statistic (Population Variances Known) 321

10.2 Hypothesis Testing and Confidence Intervals About the Difference in Two Means: Independent Samples and Population Variances Unknown 329

Thinking Critically About Statistics in Business Today 337

10.3 Statistical Inferences for Two Related Populations 339

10.4 Statistical Inferences About Two Population Proportions, p1 p2 348

10.5 Testing Hypotheses About Two Population Variances 355

Decision Dilemma Solved 363

Ethical Considerations 364

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Five Guys 370

Big Data Case 371

11 Analysis of Variance and Design of Experiments 372

Decision Dilemma: Job and Career Satisfaction of Foreign Self-Initiated Expatriates 372

11.1 Introduction to Design of Experiments 373

11.2 The Completely Randomized Design (One-Way ANOVA) 376

11.3 Multiple Comparison Tests 387

Thinking Critically About Statistics in Business Today 395

11.4 The Randomized Block Design 396

11.5 A Factorial Design (Two-Way ANOVA) 405

Decision Dilemma Solved 418

Ethical Considerations 419

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: The Clarkson Company: A Division of Tyco International 425

Big Data Case 426

12 Simple Regression Analysis and Correlation 427

Decision Dilemma: Predicting International Hourly Wages by the Price of a Big Mac 427

12.1 Correlation 428

12.2 Introduction to Simple Regression Analysis 432

12.3 Determining the Equation of the Regression Line 433

12.4 Residual Analysis 439

12.5 Standard Error of the Estimate 446

12.6 Coefficient of Determination 449

12.7 Hypothesis Tests for the Slope of the Regression Model and Testing the Overall Model 451

Thinking Critically About Statistics in Business Today 453

12.8 Estimation 456

12.9 Using Regression to Develop a Forecasting Trend Line 460

12.10 Interpreting the Output 466

Decision Dilemma Solved 468

Ethical Considerations 469

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Caterpillar, Inc. 475

Big Data Case 476

13 Multiple Regression Analysis 477

Decision Dilemma: Are You Going to Hate Your New Job? 477

13.1 The Multiple Regression Model 478

13.2 Significance Tests of the Regression Model and Its Coefficients 485

13.3 Residuals, Standard Error of the Estimate, and R2 489

Thinking Critically About Statistics in Business Today 494

13.4 Interpreting Multiple Regression Computer Output 495

Decision Dilemma Solved 497

Ethical Considerations 498

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Starbucks Introduces Debit Card 502

Big Data Case 503

14 Building Multiple Regression Models 504

Decision Dilemma: Predicting CEO Salaries 504

14.1 Nonlinear Models: Mathematical Transformation 505

14.2 Indicator (Dummy) Variables 518

Thinking Critically About Statistics in Business Today 521

14.3 Model-Building: Search Procedures 522

14.4 Multicollinearity 532

14.5 Logistic Regression 535

Decision Dilemma Solved 542

Ethical Considerations 543

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Virginia Semiconductor 548

Big Data Case 550

15 Time-Series Forecasting and Index Numbers 551

Decision Dilemma: Forecasting Air Pollution 551

15.1 Introduction to Forecasting 552

15.2 Smoothing Techniques 557

Thinking Critically About Statistics in Business Today 566

15.3 Trend Analysis 567

15.4 Seasonal Effects 574

15.5 Autocorrelation and Autoregression 581

15.6 Index Numbers 587

Decision Dilemma Solved 594

Ethical Considerations 596

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Debourgh Manufacturing Company 602

Big Data Case 604

16 Analysis of Categorical Data 605

Decision Dilemma: Selecting Suppliers in the Electronics Industry 605

16.1 Chi-Square Goodness-of-Fit Test 606

16.2 Contingency Analysis: Chi-Square Test of Independence 613

Thinking Critically About Statistics in Business Today 619

Decision Dilemma Solved 620

Ethical Considerations 620

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Foot Locker in the Shoe Mix 623

Big Data Case 624

17 Nonparametric Statistics 625

Decision Dilemma: How is the Doughnut Business? 625

17.1 Runs Test 628

17.2 Mann-Whitney U Test 632

17.3 Wilcoxon Matched-Pairs Signed Rank Test 639

17.4 Kruskal-Wallis Test 647

Thinking Critically About Statistics in Business Today 651

17.5 Friedman Test 651

17.6 Spearman's Rank Correlation 656

Decision Dilemma Solved 659

Ethical Considerations 660

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Schwinn 666

Big Data Case 667

18 Statistical Quality Control 668

Decision Dilemma: Italy's Piaggio Makes a Comeback 668

18.1 Introduction to Quality Control 669

Thinking Critically About Statistics in Business Today 678

18.2 Process Analysis 679

18.3 Control Charts 686

Decision Dilemma Solved 701

Ethical Considerations 702

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Standard Motor Products 708

Big Data Case 709

19 Decision Analysis 710

Decision Dilemma: Decision-making at the CEO Level 710

19.1 The Decision Table and Decision-making Under Certainty 711

19.2 Decision-making Under Uncertainty 713

Thinking Critically About Statistics in Business Today 717

19.3 Decision-making Under Risk 720

19.4 Revising Probabilities in Light of Sample Information 729

Decision Dilemma Solved 737

Ethical Considerations 737

Summary / Key Terms / Formulas / Supplementary Problems / Exploring the Databases with Business Analytics

Chapter Case: Fletcher-Terry: On The Cutting Edge 741

Big Data Case 742

Appendix A Tables 743

Appendix B Answers to Selected Odd-Numbered Quantitative Problems 784

Glossary 793

Index 801

Additional information

NGR9781119668015
9781119668015
1119668018
Business Statistics: For Contemporary Decision Making by Ken Black (University of Houston, Clear Lake, TX)
New
Paperback
John Wiley & Sons Inc
2020-02-10
832
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

Customer Reviews - Business Statistics