Author: Robert R. Johnson
Publisher: Cengage Learning
Release Date: 2011-01-01
In their own classrooms, through their popular texts, and in the conferences they lead, Robert Johnson and Patricia Kuby have inspired hundreds of thousands of students and their instructors to see the utility and practicality of statistics. Now in its Eleventh Edition, ELEMENTARY STATISTICS has been consistently praised by users and reviewers for its clear exposition and relevant examples, exercises, and applications. A focus on technology to help students succeed--including MINITAB, Excel, and TI-83/84 output and instructions throughout--is enhanced by a wealth of supplements that save instructors time and give students interactive guidance and support. All this and more have established this text’s reputation for being remarkably accessible for students to learn from--and simple and straightforward for instructors to teach from. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Using a successfully class-tested approach that gives coherence to a broad range of introductory topics, this innovative text provides students with a real-world, big picture view of statistics as well as problem-solving strategies that can be applied to the statistical questions, real data, and examples that they will encounter. Author Nancy Pfenning organizes content around four basic processes of statistics: producing data, displaying and summarizing data, understanding probability, and using probability to perform statistical inference. Within this framework, the book progresses systematically through five basic problem situations involving values of variables (quantitative, categorical, or a blend). As a result, students learn to identify which situation applies and how to choose the correct display, summary, or inference tool or technique. As students gain proficiency in specific statistical techniques, the author also points out connections among topics and techniques. More than 1,000 real-life examples and categorized exercises support the approach, engaging students in practicing and developing a variety of skills. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: James E. Burt
Publisher: Guilford Press
Release Date: 2009
Genre: Social Science
Introduces the techniques and concepts of statistics in human and physical geography. This book explains not only how to apply quantitative tools but also why and how they work. It helps students gain important skills for utilizing conventional and spatial statistics in their own research, as well as for critically evaluating the work of others.
Author: Mario F. Triola
Publisher: Addison-Wesley Longman
Release Date: 2010
Mario Triola’s Elementary Statistics remains the market-leading introductory statistics textbook because it engages students with an abundance of real data in the examples, applications, and exercises. Statistics is all around us in our daily lives, and Triola is dedicated to finding new real-world examples and data sets for you to use in your classroom. The Eleventh Edition contains more than 2000 exercises, 87% of which are new, and 82% of which use real data. It also contains hundreds of examples, 86% of which are new and 94% of which use real data. By analyzing real data, students are able to connect abstract concepts to the world at large. As a result, they gain conceptual understanding and learn to think statistically, using the same methods that professional statisticians employ. This text comes packaged with a CD-ROM that includes data sets in various formats and other resources. Data sets and other resources for this book are also available at our website.
Author: Ron Larson
Publisher: Prentice Hall
Release Date: 2009
For algebra-based Introductory Statistics courses. Offering the most accessible approach to statistics, with a strong visual/graphical emphasis, this book offers a vast number of examples on the premise that students learn best by "doing". The fourth edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking in addition to calculations. This emphasis on "statistical literacy" is reflective of the GAISE recommendations.
Author: A.K. Sharma
Publisher: Discovery Publishing House
Release Date: 2005-01-01
This book Elementary Statistics has been written to meet the requirement of graduate students of all Indian universities. The subject matter has been presented in such a way that it is easily expectable to students. Illustrated examples have been incorporated to help the students in getting the clear concept of the subject and allied matters. The exercises given in the text form. The integral part of the book and it is advised that the same should be attempt seriously. Contents: Classification and Tabulation of Data, Graphic Presentation of Data, Measure of Central Value, Measures of Dispersion.
Author: Sandra D. Schlotzhauer
Publisher: SAS Institute
Release Date: 2007
Learn how to perform basic statistical analyses using the powerful JMP software. Elementary Statistics Using JMP bridges the gap between statistics texts and JMP documentation. Author Sandra Schlotzhauer opens with an explanation of the basics of JMP data tables, demonstrating how to use JMP for descriptive statistics and graphs. The author continues with a lucid discussion of fundamental statistical concepts, including normality and hypothesis testing. Using a step-by-step approach, she shows analyses for comparing two groups, comparing multiple groups, fitting regression equations, and exploring contingency tables. For each analysis, the author clearly explains assumptions, the statistical approach, the JMP steps and results, and how to make conclusions from the results. Statistical methods include: *histograms, box plots, descriptive statistics, stem-and-leaf plots *mosaic plots, bar charts, and treemaps *t-tests and Wilcoxon tests to compare two independent or paired groups *one-way ANOVA and Kruskal-Wallis tests, and selected multiple comparison techniques *Pearson and Spearman correlation coefficients *regression models for lines, curves, and multiple variables *residuals plots and lack-of-fit tests for regression *Chi-square tests, Fisher's Exact test, and measures of association for contingency tables. Understand how to interpret both the graphs and text reports, as well as how to customize JMP results to meet your needs. Packed with examples from a broad range of industries, this text is ideal for novice to intermediate JMP users. Prior statistical knowledge, JMP experience, or programming skills are not required.
Author: Henry R. Neave
Release Date: 2013-05-13
Genre: Business & Economics
This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.