This hands-on introduction to statistics presents balanced coverage of both the theory and application of statistics, showing readers how to analyze data that appear in situations in the world around them. It features an abundance of examples and exercises--nearly all based on current, real-world applications pulled from journals, magazines, news articles, and commerce. TI-83 boxes throughout describe the keystrokes and output of TI-83 graphing calculator, where appropriate, and an Exploring Data with a Computer feature provides 5 large "real" datasets (available on disk and referenced in an Appendix) as the basis for statistical explorations using a statistical software package. Computer output from SPSS, Minitab, SAS, and ASP are integrated throughout.Statistics, Data, and Statistical Thinking. Methods for Describing Sets of Data. Probability. Discrete Random Variables. Continuous Random Variables. Sampling Distributions. Inferences Based on a Single Sample: Estimation with Confidence Intervals. Inferences Based on a Single Sample: Tests of Hypotheses. Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses. Analysis of Variance: Comparing More Than Two Means. Simple Linear Regression. Multiple Regression and Model Building. Categorical Data Analysis. Nonparametric Statistics.For anyone needing a contemporary, applications-oriented introduction to statistics.
The ninth edition of this introductory text/CD-ROM offers a greater variety of levels of difficulty in exercises, an expanded discussion of multicolinearity, introductory material on distribution-free tests, and revised printouts from statistical software that reflect the latest versions. The text emphasizes inference, with extensive coverage of data collection and analysis, and stresses the development of statistical thinking and the assessment of the credibility and value of the interference made from data. A mathematical background of basic algebra is assumed. McClave works in the private sector. Sincich is affiliated with the University of South Florida. Annotation c. Book News, Inc., Portland, OR (booknews.com)
A book/disk introductory text emphasizing inference, with extensive coverage of data collection and analysis. Special attention is paid to the development of statistical thinking, and assessment of credibility and value of inferences made from data. All new ideas are illustrated with real data-based applications and examples. Pedagogical aids include real data exercises of three different types, chapter reviews, key terms and formulas, pronunciation notes, and student projects. Instructors can control the level of coverage of probability with separate optional sections. Assumes a background of basic algebra. This eighth edition contains new material on multiple regression, replaces ASP with the T-83 Graphing Calculator, and offers updated case studies on controversial issues. The authors are affiliated with Info Tech, Inc., and the University of South Florida. Annotation c. Book News, Inc., Portland, OR booknews.com
Dr. Jim McClave is currently President and CEO of Info Tech, Inc., a statistical consulting and software development firm with an international clientele. He is also currently an Adjunct Professor of Statistics at the University of Florida, where he was a full-time member of the faculty for twenty years.
Dr. Terry Sincich obtained his PhD in Statistics from the University of Florida in 1980. He is an Associate Professor in the Information Systems & Decision Sciences Department at the University of South Florida in Tampa. Dr. Sincich is responsible for teaching basic statistics to all undergraduates, as well as advanced statistics to all doctoral candidates, in the College of Business Administration. He has published articles in such journals as the Journal of the American Statistical Association, International Journal of Forecasting, Academy of Management Journal, and the Auditing: A Journal of Practice & Theory. Dr. Sincich is a co-author of the texts Statistics, Statistics for Business & Economics, Statistics for Engineering & the Sciences, and A Second Course in Statistics: Regression Analysis.