Gathering and interpreting statistics to diagnose problems and evaluate results in the business environment is an important skill that is more easily learned in the context of real applications, cases, and projects. This thorough introduction to business statistics introduces every topic with real examples and data sets from today's business world, and features menu-driven, user-friendly ASP statistical software that performs all necessary statistical computations, allowing readers to concentrate on interpretations. An abundance of practice exercises focuses on both mechanics applications. Comprehensive coverage surveys the full range of statistical topics and provides a thorough exploration of statistical computing -- with computer printouts for SAS, MINITAB, and SPSS, integrated throughout, and optional computer applications for each chapter -- with SAS, MINITAB, and SPSS commands. Real data sets include appraisals and sale prices for residential property sales; Business Week's executive compensation scoreboard, 1994; characteristics of HMO physicians in a managed-care system; Federal Trade Commission rankings of 372 cigarette brands. In addition to the new accompanying software, the Fifth Edition provides updated case studies, examples, and exercises based on studies reported in recent magazine, journal and news articles. For business personnel who want a comprehensive, applied introduction to business statistics.

Business Statistics by Example (5th Edition) Part A and Part B

Business & Money

Sincich, Terry L.

Education & Reference

Pearson

This reader-friendly book focuses on building linear statistical models and developing skills for implementing regression analysis in real-life situations. It includes applications for a range of fields including engineering, sociology, and psychology, as well as traditional business applications. The authors use the latest material available from news articles, magazines, professional journals, the Internet, and actual consulting problems to illustrate real business situations and how to solve them using the tools of regression analysis. In addition, this book emphasizes model building and multiple regression models and pays special attention to model validation and spline regression. For professionals in any number of fields, including engineering, sociology, and psychology, who would benefit from learning how to use regression analysis to solve problems.

A Second Course in Statistics: Regression Analysis

Science & Math

MENDENHALL, WILLIAM

Mathematics

Pearson College Div

Provides answers to most odd-numbered exercises for each chapter.

A Student Solutions Manual for Second Course in Statistics: Regression Analysis

Literature & Fiction

This introduction to statistics helps readers develop and enhance their critical thinking skills. It shows readers how to analyze data that appear in situations in the world around them and features an abundance of examples and exercises—nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. In addition, this book exposes readers to the most recent statistical software packages that will prove helpful on the job. Presenting balanced coverage of both the theory and application of statistics, the book discusses methods for describing data sets; probability; random variables and probability distributions; inferences based on a single sample utilizing tests of hypothesis and confidence intervals; comparing population proportions and means; simple linear regression, and much more. For business, engineering, and science professionals.

First Course in Statistics, A (8th Edition)

McClave, James T.

Sincich, Terry T.

PRENTICE/HALL

This book focuses on building linear statistical models and on developing skills for implementing regression analysis in real life situations. The fifth edition now includes applications for engineering, sociology, psychology, etc., as well as traditional business applications. The authors use material from news articles, magazines, professional journals, and actual consulting problems to illustrate real business problems and how to solve them by using the tools of regression analysis.

A Second Course in Statistics: Regression Analysis (5th Edition)

This text is designed for a two-semester introductory course in statistics for students majoring in engineering or any of the physical sciences. Inevitably, once these students graduate and are employed, they will be involved in the collection and analysis of data and will be required to think critically about the results. Consequently, they need to acquire knowledge of the basic concepts of data description and statistical inference and familiarity with statistical methods they are required to use on the job.

Statistics for Engineering and the Sciences, Sixth Edition, Textbook and Student Solutions Manual

Mendenhall, William M.

Chapman and Hall/CRC

Statistics for Engineering and the Sciences Student Solutions Manual

A companion to Mendenhall and Sincich‘s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

Boudreau, Nancy S.

Prepare Your Students for Statistical Work in the Real World Statistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results. New to the Sixth Edition <ul>
<li>Many new and updated exercises based on contemporary engineering and scientific-related studies and real data</li> <li>More statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software</li> <li>Introduction of the case studies at the beginning of each chapter</li> <li>Streamlined material on all basic sampling concepts, such as random sampling and sample survey designs, which gives students an earlier introduction to key sampling issues</li> <li>New examples on comparing matched pairs versus independent samples, selecting the sample size for a designed experiment, and analyzing a two-factor experiment with quantitative factors</li> <li>New section on using regression residuals to check the assumptions required in a simple linear regression analysis</li>
</ul> The first several chapters of the book identify the objectives of statistics, explain how to describe data, and present the basic concepts of probability. The text then introduces the two methods for making inferences about population parameters: estimation with confidence intervals and hypothesis testing. The remaining chapters extend these concepts to cover other topics useful in analyzing engineering and scientific data, including the analysis of categorical data, regression analysis, model building, analysis of variance for designed experiments, nonparametric statistics, statistical quality control, and product and system reliability.

Statistics for Engineering and the Sciences

A companion to Mendenhall and Sincich’s Statistics for Engineering and the Sciences, Sixth Edition, this student resource offers full solutions to all of the odd-numbered exercises.

See the best price to sell, buy, or rent books by Sincich, Terry L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Sincich, Terry L.

See the best price to sell, buy, or rent books by Sincich, Terry L.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Business Statistics by Example (5th Edition) Part A and Part B

A Second Course in Statistics: Regression Analysis

A Student Solutions Manual for Second Course in Statistics: Regression Analysis

First Course in Statistics, A (8th Edition)

A Second Course in Statistics: Regression Analysis (5th Edition)

Statistics for Engineering and the Sciences, Sixth Edition, Textbook and Student Solutions Manual

Statistics for Engineering and the Sciences Student Solutions Manual

Statistics for Engineering and the Sciences

Statistics for Engineering and the Sciences Student Solutions Manual