SOLUTIONS MANUAL
For
BUSINESS STATISTICS
A DEC ISION- MAKING A PPROACH
ELEVENTH EDITION
David F.Groebner
Patrick W. Shan non
Phillip C. Fry
- / 4
Copyright ©2024 Pearson Education, Inc.iii
Contents
Chapter 1 The Where, Why, and How of Data Collection 1 Section 1.1 Exercises 1 Section 1.2 Exercises 2 Section 1.3 Exercises 3 Section 1.4 Exercises 5 End of Chapter Exercises 5
Chapter 2 Graphs, Charts, and Tables—Describing Your Data 7 Section 2.1 Exercises 7 Section 2.2 Exercises 16 Section 2.3 Exercises 25 End of Chapter Exercises 31
Chapter 3 Describing Data Using Numerical Measures 37 Section 3.1 Exercises 37 Section 3.2 Exercises 43 Section 3.3 Exercises 48 End of Chapter Exercises 52
Chapter 4 Introduction to Probability 60 Section 4.1 Exercises 60 Section 4.2 Exercises 63 End of Chapter Exercises 69 Chapter 4 Questions 72
Chapter 5 Discrete Probability Distributions 75 Section 5.1 Exercises 75 Section 5.2 Exercises 81 Section 5.3 Exercises 85 End of Chapter Exercises 91
Chapter 6 Introduction to Continuous Probability Distributions 95 Section 6.1 Exercises 95 Business Application 99 Section 6.2 Exercises 103 End of Chapter Exercises 105
Chapter 7 Introduction to Sampling Distributions 110 Section 7.1 Exercises 110 Section 7.2 Exercises 115 Section 7.3 Exercises 121 End of Chapter Exercises 127
Chapter 8 Estimating Single Population Parameters 133 Section 8.1 Exercises 133 Section 8.2 Exercises 140 Section 8.3 Exercises 146 End of Chapter Exercises 150 2 / 4
Copyright ©2024 Pearson Education, Inc.iv Chapter 9 Introduction to Hypothesis Testing 154 Section 9.1 Exercises 154 Computer Database Exercises 156 Section 9.2 Exercises 157 Section 9.3 Exercises 163 End of Chapter Exercises 169
Chapter 10 Estimation and Hypothesis Testing for Two Population Parameters 175 Section 10.1 Exercises 175 Section 10.2 Exercises 178 Section 10.3 Exercises 183 Section 10.4 Exercises 187 End of Chapter Exercises 190
Chapter 11 Hypothesis Tests and Estimation for Population Variances 195 Section 11.1 Exercises 195 Section 11.2 Exercises 199 End of Chapter Exercises 200
Chapter 12 Analysis of Variance 204 Section 12.1 Exercises 204 Section 12.2 Exercises 210 Section 12.3 Exercises 215 End of Chapter Exercises 220
Chapter 13 Goodness-of-Fit Tests and Contingency Analysis 226 Section 13.1 Exercises 226 Section 13.2 Exercises 230 End of Chapter Exercises 237 Business Applications 237
Chapter 14 Introduction to Linear Regression and Correlation Analysis 241 Section 14.1 Exercises 241 Section 14.2 Exercises 246 Section 14.3 Exercises 255 End of Chapter Exercises 259
Chapter 15 Multiple Regression Analysis and Model Building 265 Section 15.1 Exercises 265 Section 15.2 Exercises 271 Section 15.3 Exercises 274 Section 15.4 Exercises 282 Section 15.5 Exercises 285 End of Chapter Exercises 293
Chapter 16 Analyzing and Forecasting Time-Series Data 303 Section 16.1 Exercises 303 Section 16.2 Exercises 305 Section 16.3 Exercises 317 Business Applications 321 End of Chapter Exercises 324
- / 4
Copyright ©2024 Pearson Education, Inc.v Chapter 17 Introduction to Nonparametric Statistics 340 Section 17.1 Exercises 340 Section 17.2 Exercises 343 Section 17.3 Exercises 348 End of Chapter Exercises 350
Chapter 18 Introducing Business Analytics 355 Section 18.1 Exercises 355 Section 18.2 Exercises 356
Chapter 19 Introduction to Decision Analysis (Online) 361 Business Applications 362 Section 19.2 Exercises 365 Skill Development 365 Business Applications 366 Section 19.3 Exercises 367 Business Applications 367 End of Chapter Exercises 369 Business Applications 369
Chapter 20 Introduction to Quality and Statistical Process Control (Online) 375 Section 20.1 Exercises 375 End of Chapter Exercises 382
- / 4