Prentice Hall
Business
ISBN-10: 0131547143
ISBN-13: 9780131547148
Publisher: Prentice Hall
Copyright: 2006
Format: Paper Bound w/CD-ROM; 624 pp
Published: 03/28/2005
Suggested retail price: $160.00
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For a 1 semester course in Business Statistics.
This paperback, 14 chapter text focuses on using rich business applications from all the functional areas of business to introduce the core concepts. The emphasis is on a clean, sophisticated presentation uncluttered by bells and whistles.
A more comprehensive version by these same authors is also available called Basic Business Statistics 10e.
For a 1 semester course in Business Statistics.
This paperback, 14 chapter text focuses on using rich business applications from all the functional areas of business to introduce the core concepts. The emphasis is on a clean, sophisticated presentation uncluttered by bells and whistles.
A more comprehensive version by these same authors is also available called Basic Business Statistics 10e.
How do you motivate students to see the value of this course since most students are here to complete a core requirement?
“Using Statistics” business scenarios—Each chapter begins with a “Using Statistics” example related to a different functional area of business and is woven throughout the chapter to illustrate key points and help students make connections.
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Shows how statistics is relevant to all business majors-accounting, finance, management, marketing, operations, and information systems.
What business skills are you hoping your students will have mastered after completing your course?
Emphasis on data analysis and interpretation within chapter— Output from Excel and Minitab 14 are featured within the chapter.
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Allows students to focus on interpreting the software output and making informed business decisions.
What software do you use in this course? How much software instruction do you want a text to provide and where?
Featured Software- The authors use Excel and Minitab 14 output within the chapters. For those instructors that prefer to use an Excel add-in, PHSTAT2 is featured in Appendix G.
- Showcases the most common packages used in the business world.
Detailed Software Appendices at the end of each chapter
- Provides step-by-step instructions necessary to perform most statistical analsysis using Excel and Minitab 14.
Do you assign/grade homework? Would you be interested in an online resouce that offers text specific questions that can be assigned for practice/homework and save you grading time?
PH Grade Assist—Prentice Hall's Internet-based system provides algorithmically generated homework problems.
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Provides unlimited practice for the student and scoring, grading, and course management for the instructor.
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PHGradeAssist icons appear in the text next to exercises that are in this system.
This text is available for personalization in the PHCBR custom database program. Select only the chapters you require or supplement with recommended case studies all under one cover. CLICK HERE to go directly to the PHCBR book-build site or visit our product page for additional information at pearsoncustom.com/business.
How do you think students use texts? How do you judge readability? Do you think they read them cover to cover? What types of resources help students succeed in the course?
Improved accessibility for students
- Every chapter in the text has undergone major rewriting and the text now uses a more active, conversational writing style for students.
- Now includes many more examples from everyday life, including those on online shopping (Chapter 2), time to get ready in the morning (Chapter 3), and waiting time at a fast food restaurant (Chapter 9).
- Many problems have been simplified so that they contain no more than four parts.
- Key formulas are now included at the end of each chapter.
- Worked out solutions to Self-Test Questions are provided in the back of the text.
- A roadmap for selecting the proper statistical method is included at the front of the text to help students select the proper technique and to make connections between topics.
- Many new applied examples and exercises with data from the Wall Street Journal, USA Today, Consumer Reports, and other sources have been added to the text.
What type of software do you use with your students?
Improved Software presentation
- Now focus on using standard Excel worksheets to learn statistics and interpret results. llustrations of Excel worksheets show the cell formulas used to build the worksheet. In each chapter, an end-of chapter Excel appendix explains how to use the worksheets featured in the chapter. For those who choose to use the PHStat2 Excel add-in instead, a PHStat2 appendix (Appendix G) is provided as well.
- Teaches students how to use Excel "as is" since that is what most students will use in the business world.
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- Updated version of PHStat2 and a separate PHStat2 Appendix– PHStat2 version 2.5, the newest version of Prentice Hall’s supplemental add-in program for Microsoft Excel is bundled free with this text. This updated version includes enhancements such as the ability to work with recent Microsoft Office security updates, multiple regression with independent variables in noncontiguous columns, improved stem-and-leaf displays and box-and-whisker plots, the Z- test for the difference in two means, Levene’s test for the homogeneity of variance, and the Marascuilo multiple comparisons procedure for proportions. Appendix G collects all of the instructions for using the add-in with this textbook in one handy-to-use reference. (PHStat2 Support, including updates when available, can be found at www.prenhall.com/phstat.)
- PHStat2 enhances the capabilities of Excel allowing you to do more statistical analysis.
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- Features Minitab Version 14— All Minitab output in the text and all Minitab appendixes are from Minitab Version 14.
- Provides the latest version of the Minitab statistical software.
Content Changes
Reorganization of the hypothesis testing chapters
· All tests involving the normal and t distribution are covered in Chapters 9 and 10 prior to coverage of the F test.
· The Analysis of Variance is covered in Chapter 11
· All Chi-Square tests are covered in Chapter 12 along with nonparametric tests
More comprehensive coverage of topics
· Topics such as the sample covariance, the normal approximation to the binomial distribution, the power of the test, the McNemar test, and the chi-square goodness of fit test are now enhanced for better student comprehension.
1. Introduction and Data Collection
Using Statistics: Good Tunes
Basic Concepts of Statistics. The Growth of Statistics and Information
Technology. How This Text Is Organized The Importance of Collecting Data.
Identifying Sources of Data. Types of Data.
2. Presenting Data in Tables and Charts
Using Statistics: Comparing the Performance of Mutual Funds
Tables and Charts for Categorical Data. Tables and Charts for Numerical Data.
Cross Tabulations. Scatter Diagrams and Time Series Plots. Misusing Graphs
and Ethical Issues
3. Numerical Descriptive Measures
Using Statistics: Comparing the Performance of Mutual Funds
Measures of Central Tendency, Variation, and Shape. Obtaining Descriptive
Summary Measures from a Population. Exploratory Data Analysis. The
Covariance and the Coefficient of Correlation. Pitfalls in Numerical
Descriptive Measures and Ethical Issues.
4. Basic Probability
Using Statistics: The Consumer Electronics Company
Basic Probability Concepts. Conditional Probability. Bayes’ Theorem. Counting
Rules. Ethical Issues and Probability.
5. Some Important Discrete Probability Distributions
Using Statistics: The Accounting Information System of the Saxon
Plumbing Company
The Probability Distribution for a Discrete Random Variable. Binomial Distribution.
Poisson Distribution. (CD-ROM Topic) The Hypergeometric Distribution.
6. The Normal Distribution and Other Continuous Distributions
Using Statistics: Download Time for a Web Site Home Page
The Normal Distribution. Evaluating the Normality Assumption. The Uniform
Distribution. The Exponential Distribution.
7. Sampling Distributions
Using Statistics: The Oxford Cereal Company Packaging Process
Sampling Distribution of the Mean. Sampling Distribution of the Proportion.
Types of Survey Sampling Methods. Evaluating Survey Worthiness.
8. Confidence Interval Estimation
Using Statistics: Auditing Invoices at the Saxon Plumbing Company
Confidence Interval Estimation of the Mean (s Known). Confidence Interval
Estimation of the Mean (s Unknown). Confidence Interval Estimation for the
Proportion. Determining Sample Size. Confidence Interval Estimation and
Ethical Issues.
9. Fundamentals of Hypothesis Testing
Using Statistics: The Oxford Cereal Company Packaging Process
Hypothesis-Testing Methodology. Z Test of Hypothesis for the Mean (s Known).
One-Tailed Tests. t Test of Hypothesis for the Mean (s Unknown). Z Test of
Hypothesis for the Proportion. Potential Hypothesis-Testing Pitfalls and Ethical
Issues.
10. Two Sample Tests using the Normal and t Distributions
Using Statistics: Comparing Sales from End-Aisle Displays and Normal
Displays
Comparing Two Independent Samples: Tests for Differences in Two Means.
Comparing Two Related Samples: Tests for the Mean Difference. Z Test for the
Difference between Two Proportions.
11. Chi-Square Tests and F Tests
Using Statistics: Guest satisfaction at T. C. Resort Properties
Chi-Square Test for Differences between Two Proportions. Chi-Square Test for
Differences in Among More than Two Proportions. Chi-Square Test of
Independence. Chi-Square Goodness of Fit Tests. F Test for Differences in Two
Variances. The Analysis of Variance (ANOVA).
12. Simple Linear Regression
Using Statistics: Forecasting Sales at the Sunflowers Clothing Stores
Correlation and Simple Linear Regression. Determining the Simple Linear
Regression Equation. Measures of Variation. Model Assumptions and Residual
Analysis. Measuring Autocorrelation: The Durbin-Watson Statistic. Inferences
Concerning the Slope. Estimation of Mean Values and Prediction of Individual
Values. Pitfalls in Regression and Ethical Issues. Computations in Simple
Linear Regression.
13. Multiple Regression
Using Statistics: Predicting OmniPower Sales
Developing the Multiple Regression Model. R2, adjusted R2, and the Overall F
test. Model Assumptions and Residual Analysis. Inferences Concerning the
Population Regression Coefficients. Using Dummy-Variables and Interaction
Terms in Regression Models. The Quadratic Regression Model.
Collinearity. Model Building. Pitfalls in Multiple Regression and Ethical Issues.
14. Statistical Applications in Quality and Productivity Management
Using Statistics: Service Quality at the Beachcomber Hotel
Total Quality Management. Six Sigma® Management. The Theory of Control
Charts. Control Chart for the Proportion of Nonconforming Items–The p Chart.
The Red Bead Experiment: Understanding Process Variability. Control Charts
for the Range and the Mean.
Answers to Self — Test Problems
Answers to Even-Numbered Problems
Appendices
Index
CD-ROM TOPICS
Chapter Sections
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