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Created through a "student-tested, faculty-approved" review process with nearly 100 students and faculty, BSTAT is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners at a value-based price. Written by leading statistics expert and worldwide best-selling statistics author Gerald Keller, BSTAT builds upon the author's proven problem-solving approach. BSTAT's engaging approach focuses on the fundamental concepts of statistics that are most important for your students to know. The author emphasizes applications rather than calculations, vividly demonstrating the vital role of statistics for today's business managers and relevance of data analysis. BSTAT teaches your students to use statistical tools to solve actual business problems with the author's signature, three-step approach that emphasizes how to identify the correct technique, compute the statistics, and interpret the results within context. Students gain a solid understanding of how to complete manual calculations while learning to maximize the latest Excel® 2010 and Minitab 16 technology with the book's numerous examples and applications. Chapter-in-Review cards provide quick reference to important formulas and guides for using Excel® 2010 and MINITAB 16. A wealth of instructor support and interactive online learning tools to accompany BSTAT help you further reinforce the applications of statistics in business today.
- PROBLEM-SOLVING APPROACH EMPHASIZES APPLICATIONS OVER CALCULATION. This text demonstrates the vital role of statistical methods play for today's managers and economists. Students learn how to apply statistical tools to real business problems, using the author's unique three-step "ICI" approach to problem solving. Students learn to IDENTIFY the correct statistical technique by focusing on the problem objective and data type. They then COMPUTE the statistics – by hand, using Excel®, or using MINITAB. Students ultimately INTERPRET results in the context of the problem.
- BOOK EMPHASIZES TECHNIQUE IDENTIFICATION. BSTAT clearly teaches students to identify techniques with effective use of flowcharts and other tools.
- WEALTH OF REVIEW EXERCISES OFFERS ESSENTIAL PRACTICE. This edition provides a variety of class-tested Review Exercises to help ensure your students have mastered the techniques in each section and chapter.
- ACTUAL SUBSTANTIAL DATA SETS ENABLE STUDENTS TO EFFICIENTLY PRACTICE STATISTICAL TECHNIQUES. Your students have the opportunity to work with large real datasets as they apply the manual and software techniques that they learn throughout your course.
- TEXT PREPARES YOU TO USE THE MOST RECENT FEATURES OF MINITAB 16 AND LATEST VERSION OF EXCEL®. This up-to-date text introduces you to the latest aspects of MINITAB 16 and most recent strengths of Excel® 2010 using screen captures and detailed directions. Memorable examples, practical problems and useful references reinforce your skills as you learn. Eighteen convenient Chapter-in-Review Cards list key formulas as well as Quick-use Guides for Excel® and MINITAB for you to review at a glance.
- TEXT REFLECTS THE MOST RECENT FEATURES OF MINITAB 16 AND LATEST VERSION OF EXCEL®. This up-to-date text introduces students to the latest MINITAB 16 and most recent strengths of Excel 2010 using screen captures and detailed directions to ensure readers can maximize the most up-to-date technology. Memorable examples, practical problems and useful references reinforce the skills as students learn. The book's 18 Chapter-in-Review Cards provide key formulas as well as Quick-use Guides for Excel® and MINITAB.
- AN INNOVATIVE COMBINATION OF CONTENT IN PRINT AND ONLINE PROVIDES A SOLID CORE TEXT AND WEALTH OF COMPREHENSIVE MULTIMEDIA TEACHING AND LEARNING ASSETS: Based on input from student focus groups and surveys, and from interviews with nearly 100 faculty and students, this magazine-style core text and wealth of integrated multimedia teaching and learning resources produces an engaging and accessible solution that appeals to different learning styles at a value-based price.
- SHORTER, COMPREHENSIVE CHAPTERS COMMUNICATE STATISTICAL CONCEPTS WITHIN A MODERN DESIGN: BSTAT uses an engaging and accessible format to deliver statistics, managerial, and problem solving content without minimizing coverage for your course.
- CHAPTER-IN-REVIEW CARDS AT THE BACK OF THE STUDENT EDITION PROVIDE STUDENTS WITH A PORTABLE STUDY TOOL: Chapter-in-Review Cards contain all of the pertinent information students need for effective class preparation, including key formulas as well as Quick-use Guides for Excel® and MINITAB.
- INSTRUCTOR PREP CARDS MAKE CLASS PREPARATION SIMPLE: Detachable Instructor Prep Cards for each chapter, conveniently located in the back of the Instructor's Edition, offer a quick map of chapter content, a list of corresponding PowerPoints®, featured applets, additional examples, and suggested assignments and discussion questions to help you organize chapter content efficiently.
- A FULL SUITE OF UNIQUE LEARNING TOOLS APPEAL TO DIFFERENT LEARNING STYLES: Online study tools are available to students with the purchase of a new book. Multimedia resources include online quizzing, audio downloads and more, only a click away.
- CONTENT AND RESOURCES PROVIDE A SUPPLEMENT PACKAGE THAT IS SECOND TO NONE. This edition provides all of the content and resources you expect with a supplement package that includes PowerPoint® slides, an Instructor's Manual, Test Bank, and ExamView™.
- UNIQUE APPROACH PREPARES STUDENTS TO MASTER THREE METHODS OF CALCULATING STATISTICS. Students learn to calculate statistics manually as well as to complete calculations using the features of Excel® 2010 and MINITAB 16.
Key Statistical Concepts. Large Real Datasets. Statistics and the Computer.
2. GRAPHICAL DESCRIPTIVE TECHNIQUES.
Types of Data and Information. Bar and Pie Charts. Histograms and Stem-and-Leaf Displays. Line Charts. Scatter Diagrams.
3. NUMERICAL DESCRIPTIVE TECHNIQUES.
Measures of Central Location. Measures of Variability. Measures of Relative Standing and Box Plots. Measures of Linear Relationship.
4. DATA COLLECTION AND SAMPLING.
Methods of Collecting Data. Sampling. Sampling Plans. Sampling and Nonsampling Errors.
Assigning Probability to Events. Joint, Marginal, and Conditional Probability. Probability Rules and Trees. Identifying the Correct Method.
6. RANDOM VARIABLES AND DISCRETE PROBABILITY DISTRIBUTIONS.
Random Variables and Probability Distributions. Binomial Distribution. Poisson Distribution.
7. CONTINUOUS PROBABILITY DISTRIBUTIONS.
Probability Density Functions. Normal Distribution. Other Continuous Distributions (Student t, Chi-squared, F).
8. SAMPLING DISTRIBUTIONS.
Sampling Distribution of the Mean. Sampling Distribution of a Proportion. From Here to Inference.
9. INTRODUCTION TO ESTIMATION.
Concepts of Estimation. Estimating the Population Proportion. Selecting the Sample Size to Estimate a Proportion.
10. INTRODUCTION TO HYPOTHESIS TESTING.
Concepts of Hypothesis Testing. Testing the Population Proportion. Calculating the Probability of a Type II Error. The Road Ahead.
11. INFERENCE ABOUT ONE POPULATION.
Inference about a Population Mean (σ Unknown). Inference about a Population Variance. Review of Inference about a Population Proportion.
12. INFERENCE ABOUT TWO POPULATIONS, PART I.
Inference about the Difference between Two Means: Independent Samples. Observational and Experimental Data. Inference about the Difference between Two Means: Matched Pairs Experiment.
13. INFERENCE ABOUT TWO POPULATIONS, PART II.
Inference about the Ratio of Two Variances. Inference about the Difference between Two Population Proportions.
14. ANALYSIS OF VARIANCE.
One Way Analysis of Variance. Multiple Comparisons. Randomized Blocks (Two Way) Analysis of Variance.
15. CHI-SQUARED TESTS.
Chi-Squared Goodness-of-Fit Test. Chi-Squared Test of a Contingency Table.
Simple Linear Regression. Estimating the Coefficients. Error Variable: Required Conditions. Assessing the Model. Using the Regression Equation. Regression Diagnostics – I.
17. MULTIPLE REGRESSION.
Model and Required Conditions. Estimating the Coefficients and Assessing the Model Regression Diagnostics – II. Regression Diagnostics- III (Time Series).
18. REVIEW OF STATISTICAL INFERENCE.
Appendix A: Data File Sample Statistics.
Appendix B: Tables.
Appendix C: Answers to Selected Even-Numbered Exercises.
Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.
CourseMate, 1 term (6 months) Instant Access
CourseMate, 1 term (6 months) Instant Access