Business Statistics, 6E
By Levine & Krehbiel
Email: Richard@qwconsultancy.com
Table of Contents
Teaching Tips
1
Instructional Tips and Solutions for Digital Cases
29
Solutions to the Managing Ashland MultComm Services Case
60
Chapter 1
Introduction
104
Chapter 2
Organizing and Visualizing Data
108
Chapter 3
Numerical Descriptive Measures
213
Chapter 4
Basic Probability
271
Chapter 5
Discrete Probability Distributions
298
Chapter 6
The Normal Distribution
326
Chapter 7
Sampling and Sampling Distributions
366
Chapter 8
Confidence Interval Estimation
392
Chapter 9
Fundamentals of Hypothesis Testing: One-Sample Tests
417
Chapter 10
Two-Sample Tests and One-Way ANOVA
453
Chapter 11
Chi-Square Tests
640
Chapter 12
Simple Linear Regression
680
Chapter 13
Introduction to Multiple Regression
723
Chapter 14
Statistical Applications in Quality Management
766
Preface The first part of the Instructor’s Solutions Manual contains our educational philosophy and teaching tips for each chapter of the text. Instructional tips and solutions for the digital cases follow. Answers to parts of the Managing Ashland MultComm Services Case that is integrated throughout the text are provided next. Solutions to End-of-Section Problems and Chapter Review Problems in each chapter are included last. The purpose of this Instructor’s Solutions Manual is to facilitate grading of assignments or exams by instructors and/or teaching assistants. Screen shots using output from PHStat2, and Minitab are integrated throughout. Most of the problems are solved using PHStat2 or Minitab. To present the steps involved in solving a problem, some intermediate numerical results are presented accurate to only a reasonable number of significant digits. Hence, instructors are reminded that the final results presented in this manual that are obtained using PHStat2 or Minitab can sometimes be different from those obtained with a hand calculator computed using the intermediate values due to rounding.
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Teaching Tips
1
Teaching Tips for Business Statistics: A First Course, Sixth Edition Educational Philosophy In our many years of teaching business statistics, we have continually searched for ways to improve the teaching of business statistics courses. We actively participate in Decision Sciences Institute (DSI), American Statistical Association (ASA), and Making Statistics More Effective in Schools and Business (MSMESB) conferences. We use the Guidelines for Assessment and Learning (GAISE) reports as well as our reflections on teaching busines statistics to a diverse group of students at several large universities. These experiences have shaped our vision that has come to include these key principles: 1. Students need to be shown the relevance of statistics. • Students need a frame of reference when learning statistics, especially when statistics is not their major. That frame of reference for business students should be the functional areas of business—accounting, finance, information systems, management, and marketing. Each statistical topic needs to be presented in an applied context related to at least one of these functional areas. • The focus in teaching each topic should be on its application in business, the interpretation of results, the presentation of assumptions, the evaluation of the assumptions, and the discussion of what should be done if the assumptions are violated. 2. Students need to be familiar with the software used in the business world. • Integrating spreadsheet and/or statistical software into all aspects of an introductory statistics course allows the course to focus on interpretation of results instead of computations. • Introductory business statistics courses should recognize that in business, spreadsheet software is typically available on a decision-maker’s desktop and statistical software is often also available. 3. Students need to be given sufficient guidance on using software. • Textbooks should provide enough instructions so that students can effectively use the software integrated with the study of statistics, without having the software instruction dominate the course.
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Teaching Tips
4. Students need ample practice in order to understand how statistics is used in business. • Both classroom examples and homework exercises should involve actual or realistic data as much as possible. • Students should work with data sets, both small and large, and be encouraged to look
beyond the statistical analysis of data to the interpretation of results in a managerial context.