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SOLUTIONS MANUAL
For
BUSINESS STATISTICS
A DEC
ISION-MAKING APPROACH
David F. Groebner
Patrick W.Shannon Phillip C. Fry 1 / 4
Copyright © 2018 Pearson Education, Inc.iii
Contents
Chapter 1 The Where, Why, and How of Data Collection 1 Section 1.1 1 Section 1.2 3 Section 1.3 5 Section 1.4 8 End of Chapter Exercises 8
Chapter 2 Graphs, Charts, and Tables—Describing Your Data 11 Section 2.1 11 Section 2.2 28 Section 2.3 43 End of Chapter Exercises 53
Chapter 3 Describing Data Using Numerical Measures 63 Section 3.1 63 Section 3.2 76 Section 3.3 86 End of Chapter Exercises 94
Chapter 4 Introduction to Probability 113 Section 4.1 113 Section 4.2 121 End of Chapter Exercises 134 Chapter 4 Questions 139
Chapter 5 Discrete Probability Distributions 145 Section 5.1 145 Section 5.2 155 Section 5.3 166 End of Chapter Exercises 173
Chapter 6 Introduction to Continuous Probability Distributions 181 Section 6.1 181 Business Application 187 Section 6.2 196 End of Chapter Exercises 201
Chapter 7 Introduction to Sampling Distributions 209 Section 7.1 209 Section 7.2 218 Section 7.3 228 End of Chapter Exercises 240
Chapter 8 Estimating Single Population Parameters 249 Section 8.1 249 Section 8.2 262 Section 8.3 271 End of Chapter Exercises 280 2 / 4
Copyright © 2018 Pearson Education, Inc.iv Chapter 9 Introduction to Hypothesis Testing 285 Section 9.1 285 Computer Database Exercises 289 Section 9.2 291 Section 9.3 299 End of Chapter Exercises 309
Chapter 10 Estimation and Hypothesis Testing for Two Population Parameters 319 Section 10.1 319 Section 10.2 326 Section 10.3 335 Section 10.4 344 End of Chapter Exercises 350
Chapter 11 Hypothesis Tests and Estimation for Population Variances 357 Section 11.1 357 Section 11.2 365 End of Chapter Exercises 368
Chapter 12 Analysis of Variance 373 Section 12.1 373 Section 12.2 385 Section 12.3 396 End of Chapter Exercises 406
Chapter 13 Goodness-of-Fit Tests and Contingency Analysis 417 Section 13.1 417 Section 13.2 425 End of Chapter Exercises 437 Business Applications 438
Chapter 14 Introduction to Linear Regression and Correlation Analysis 445 Section 14.1 445 Section 14.2 455 Section 14.3 471 End of Chapter Exercises 481
Chapter 15 Multiple Regression Analysis and Model Building 491 Section 15.1 491 Section 15.2 499 Section 15.3 506 Section 15.4 521 Section 15.5 530 End of Chapter Exercises 548
Chapter 16 Analyzing and Forecasting Time-Series Data 569 Section 16.1 569 Section 16.2 572 Database Exercises 590 Section 16.3 595 Business Applications 599 End of Chapter Exercises 607 3 / 4
Copyright © 2018 Pearson Education, Inc.v Chapter 17 Introduction to Nonparametric Statistics 629 Section 17.1 629 Section 17.2 634 Section 17.3 645 End of Chapter Exercises 650
Chapter 18 Introducing Business Analytics 659 Section 18.1 659
Chapter 19 Introduction to Decision Analysis (Online) 669 Section 19.1 669 Business Applications 671 Section 19.2 Skill Development 677 Business Applications 678 Section 19.3 Business Applications 680 End of Chapter Exercises Business Applications 684
Chapter 20 Introduction to Quality and Statistical Process Control (Online) 695 Section 20.1 695 End of Chapter Exercises 710
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