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Discovering Statistics

Third Edition ©2016 Daniel T. Larose

Now available with Macmillan’s online learning platform Achieve, Larose’s Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students’ statistical sense and enable them to discover the statistician within...

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Look Inside Look Inside Discovering Statistics by Daniel T. Larose - Third Edition, 2016 from Macmillan Student Store

Dan Larose’s Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students’ statistical sense and enable them to discover the statistician within.

Now available with Macmillan’s online learning platform Achieve, Larose’s Discovering Statistics strikes the ideal balance of conceptual application and computational understanding to develop students’ statistical sense and enable them to discover the statistician within.


Achieve for Discovering Statistics connects the problem-solving techniques and real world examples in the book to rich digital resources that foster further understanding and application of statistics. Assets in Achieve support learning before, during, and after class for students, while providing instructors with class performance analytics in an easy-to-use interface.

Features

Achieve Online Homework

  • Over 3,000 homework questions of varying difficulty, Bloom’s level, and question type. Every homework question includes a hint, answer-specific feedback, and a fully worked solution. Question types in Achieve include
    • Multiple choice
    • Ranking
    • Sorting
    • Numeric entry
    • Multi-part questions
    • Questions with algorithmically regenerating values
  • LearningCurve adaptive quizzing puts the concept of "testing to learn" into action, motivating students to engage with the text's content to identify areas of proficiency. Easy-to-use reporting tools help teachers pinpoint areas to focus on in class.
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  • A mobile, interactive e-book, powered by VitalSource, allows students to highlight and take notes, print select pages, and have the text read aloud to them.
  • Over 140 StatTutors--multimedia tutorials that explore important concepts and procedures in a presentation that combines video, audio, and interactive features--are assignable, gradeable, and organized by chapter.
  • Applet Activities are visual interactives that allow students to manipulate data and variables in calculations and see the results graphically. Applets also contain assessment questions to test students’ comprehension.
  • Videos provide additional exposure to key concepts and examples. Videos are narrated and close-captioned. Video types include
    • Whiteboard-style problem-solving videos
    • StatTutor video lessons
    • Animated lectures and documentary-style videos that illustrate real world scenarios involving statistics
  • EESEE (Electronic Encyclopedia of Statistical Examples and Exercises) Case Studies, developed by the Ohio State University Statistics Department, teach students to apply their statistical skills by exploring actual case studies using real data.
  • Video Technology Manuals are brief instructional videos that provide basic introductions for working with CrunchIt!, Excel, SPSS, TI-83/84 calculators, JMP, Minitab, R, and RCmdr.

 
Statistical software options

  • CrunchIt!, Macmillan’s proprietary online statistical software powered by R, handles every computation and graphing function an introductory statistics student needs. CrunchIt! is preloaded with data sets, and it allows editing and importing additional data.
  • Students also receive access to JMP Student Edition (developed by SAS). With the student edition of JMP, students handle large data, visualizations, and analysis for which the professional version is renowned. Additionally, text-specific data sets are included for download.
  • For other statistical software, Achieve includes data sets, including those for
    • Excel
    • Minitab
    • R & RCmdr
    • SPSS
    • TI Calculators
    • Mac-text & PC-text
    • CSV file export

New to This Edition

60% New and Revised Examples and 50% New and Updated Exercises
The new edition features over 4,100 exercises with options for all learning levels and styles. Examples and exercises cover a wide range of applications and use current, real data.
 
Expanded Technology Support
Step-by-Step Technology Guides at the end of most sections now include instructions and output screens for JMP and SPSS Statistical Software.
 
Your Turn
About half of the examples now conclude with a small set of exercises that can be used for assignments or self-testing review.

Check It Out
This feature at the end of a section ties Practicing the Techniques exercises back to specific examples in the chapter, helping students engage with the text and helping instructors more easily organize and assign exercises.
 
Eight brand new Chapter Case Studies
Topics include video game sales and clothing store sales.

Digital Options

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Achieve

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E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

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Table of Contents

1. The Nature of Statistics

2. Describing Data Using Graphs and Tables

3. Describing Data Numerically

4. Correlation and Regression

5. Probability

6. Probability Distributions

7. Sampling Distributions

8. Confidence Intervals

9. Hypothesis Testing

10. Two-Sample Inference

11. Categorical Data Analysis

12. Analysis of Variance

13. Inference in Regression


Available only online: www.macmillanhighered.com/discostat3e

14. Nonparametric Statistics

Daniel T. Larose

Since his days of collecting baseball cards as a youngster, Dan Larose has felt a lifelong passion for statistics. He completed his PhD in statistics from the University of Connecticut in Storrs in 1996. Today, Larose is Professor of Statistics in the Department of Mathematical Sciences at Central Connecticut State University. There, he designed, developed, and directs the world’s first online Master of Science degree in data mining. He has published three books on data mining, and is a consultant in statistics and data mining. His fondest wish is to impart a love of statistics to a new generation. Larose lives in Tolland, Connecticut, with his wife Debra, daughters Chantal and Ravel, and son, Tristan.

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Daniel T. Larose | Third Edition | ©2016 | ISBN:9781319057015

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