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Author: Prem S. Mann
Publisher: John Wiley & Sons
ISBN: 1394226381
Category :
Languages : en
Pages : 755
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Book Description
Author: Prem S. Mann
Publisher: John Wiley & Sons
ISBN: 1394226381
Category :
Languages : en
Pages : 755
Get Book Here
Book Description
Author: Douglas S. Shafer
Publisher:
ISBN: 9781453388945
Category : Mathematical statistics
Languages : en
Pages : 0
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Book Description
Author: Prem S. Mann
Publisher: John Wiley & Sons
ISBN: 9788126514847
Category :
Languages : en
Pages : 824
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Book Description
Through four previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. · Organizing Data · Numerical Descriptive Measures · Probability· Discrete Random Variables and Their Probability Distributions · Continuous Random Variables and the Normal Distribution · Sampling Distributions · Estimation of the Mean and Proportion · Hypothesis Tests About the Mean and Proportion · Estimation and Hypothesis Testing: Two Populations · Chi-Square Tests · Analysis of Variance · Simple Linear Regression · Nonparametric Methods
Author: Openstax
Publisher:
ISBN: 9788565775120
Category : Mathematics
Languages : en
Pages : 914
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Book Description
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs. Senior Contributing Authors Barbara Illowsky, De Anza College Susan Dean, De Anza College Contributing Authors Daniel Birmajer, Nazareth College Bryan Blount, Kentucky Wesleyan College Sheri Boyd, Rollins College Matthew Einsohn, Prescott College James Helmreich, Marist College Lynette Kenyon, Collin County Community College Sheldon Lee, Viterbo University Jeff Taub, Maine Maritime Academy
Author: Robin H. Lock
Publisher:
ISBN: 9781119701934
Category :
Languages : en
Pages :
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Book Description
Author: Christian Heumann
Publisher: Springer
ISBN: 3319461621
Category : Mathematics
Languages : en
Pages : 457
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Book Description
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
Author: Robert Gould
Publisher:
ISBN: 9781256676294
Category :
Languages : en
Pages :
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Author: John Verzani
Publisher: CRC Press
ISBN: 1315360306
Category : Computers
Languages : en
Pages : 522
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Book Description
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Author: Robert Gould
Publisher: Pearson
ISBN: 9780135188927
Category : Statistics
Languages : en
Pages : 800
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Book Description
For courses in Introductory Statistics. Data analysis for everyone Data in the real world are dynamic and sometimes messy. This complexity can intimidate students who are new to math and statistics -- but it's also what makes statistics so interesting! Embracing these characteristics, Introductory Statistics teaches students how to explore and analyze real data to answer real-world problems. Crafted by authors who are active in the classroom and in the statistics education community, the 3rd Edition pairs a clear, conversational writing style with new and frequent opportunities to apply statistical thinking. Its tone and learning aids are designed to equip any student to analyze, interpret, and tell a story about modern data, regardless of the student's mathematical proficiency. Also available with MyLab Statistics By combining trusted author content with digital tools and a flexible platform, MyLab(tm) Statistics personalizes the learning experience and improves results for each student. With MyLab Statistics and StatCrunch®, an integrated web-based statistical software program, students learn the skills they need to interact with data in the real world. Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information. If you would like to purchase both the physical text and MyLab Statistics, search for: 0135229995 / 9780135229996 Introductory Statistics Plus MyLab Statistics with Pearson eText - Access Card Package Package consists of: 013518892X / 9780135188927 Introductory Statistics: Exploring the World Through Data 0135190231 / 9780135190234 MyLab Statistics with Pearson eText - Standalone Access Card - for Introductory Statistics: Exploring the World Through Data
Author: Prem S. Mann
Publisher: Wiley
ISBN: 9781118715123
Category : Mathematics
Languages : en
Pages : 761
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Book Description
