Business Statistics: Communicating with Numbers3rd Edition
- This text is an intellectually stimulating, practical, and visually attractive textbook, from which students can learn and instructors can teach.
- Although the text is application-oriented, it is also mathematically sound and uses notation that is generally accepted for the topic being covered.
- Connect: A highly reliable, easy-to-use homework and learning management solution that embeds learning science and award-winning adaptive tools to improve student results.
CHAPTER 1 Statistics and Data
PART TWO Descriptive Statistics
CHAPTER 2 Tabular and Graphical Methods
CHAPTER 3 Numerical Descriptive Measures
PART THREE Probability and Probability Distributions
CHAPTER 4 Introduction to Probability
CHAPTER 5 Discrete Probability Distributions
CHAPTER 6 Continuous Probability Distributions
PART FOUR Basic Inference
CHAPTER 7 Sampling and Sampling Distributions
CHAPTER 8 Interval Estimation
CHAPTER 9 Hypothesis Testing
CHAPTER 10 Statistical Inference Concerning Two Populations
CHAPTER 11 Statistical Inference Concerning Variance
CHAPTER 12 Chi-Square Tests
PART FIVE Advanced Inference
CHAPTER 13 Analysis of Variance
CHAPTER 14 Regression Analysis
CHAPTER 15 Inference with Regression Models
CHAPTER 16 Regression Models for Nonlinear Relationships
CHAPTER 17 Regression Models with Dummy Variables
PART SIX Supplementary Topics
CHAPTER 18 Time Series and Forecasting
CHAPTER 19 Returns, Index Numbers, and Inflation
CHAPTER 20 Nonparametric Tests
APPENDIX A Getting Started with R
APPENDIX B Tables
APPENDIX C Answers to Selected Even-Numbered Exercises
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Algorithmic problems are auto-graded exercises using different numeric values each time a problem is served up to the student. This gives students practice in working a problem several times -- same question, but different numbers each time. This also deters cheating because each student in a class or lab receives a slightly different version of the problem and correct answer.
BStat Prep Modules
These assignable and autograded modules are available in Connect and cover basic Math, Statistics and Excel topics and were designed to help instructors ensure that all students have the same level of preparedness in the course.
MegaStat® is a full-featured Excel statistical analysis add-in that is available on the MegaStat website at www.mhhe.com/megastat for purchase. MegaStat performs statistical analyses within an Excel workbookand covers most calculations found in introductory statistics textbooks, such as computing descriptive statistics, creating frequency distributions, and computing probabilities as well as hypothesis testing, ANOVA, chi-square analysis, and regression analysis (simple and multiple). Video tutorials and a User's Guide is included.
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Excel Data Sets
A convenient feature is the inclusion of an Excel dat file link in many problems using data files in their calculations. The link allows students to easily launch into Excel, work the problem and return to Connect to key in the answers that are easily autograded to save instructors time.
Enables students to quickly teach themselves the Excel skills they need for success in their business statistics course and future careers, whether on a PC or Mac. ExcelNow! helps students at a time when learning new concepts becomes easiest, when they are working in Excel – the teachable moment
Brief guidelines for use are in the Jaggia chapter appendices.Minitab® Student Version 14, SPSS® Student Version 18.0, and JMP® Student Edition Version 8 are software products that are available to help students solve the exercises with data files. Each software product can be packaged with any McGraw-Hill business statistics text.
Integration of Excel and R
Because of their widespread use and reviewer feedback the author team chose Excel and R as the primary software packages used in the text. Examples are provided using both to calculate solutions.
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