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Introductory Statistics

Introductory Statistics
Author: Douglas S. Shafer
Publisher:
Total Pages: 0
Release: 2022
Genre: Mathematical statistics
ISBN: 9781453388945

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Introductory Statistics, 5Th Ed

Introductory Statistics, 5Th Ed
Author: Prem S. Mann
Publisher: John Wiley & Sons
Total Pages: 824
Release: 2007-10
Genre:
ISBN: 9788126514847

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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


Statistics

Statistics
Author: Robin H. Lock
Publisher:
Total Pages:
Release: 2022-04-21
Genre:
ISBN: 9781119701934

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Introduction to Statistics and Data Analysis

Introduction to Statistics and Data Analysis
Author: Christian Heumann
Publisher: Springer Nature
Total Pages: 584
Release: 2023-01-30
Genre: Mathematics
ISBN: 3031118332

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Now in its second edition, 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. This revised and extended edition features new chapters on logistic regression, simple random sampling, including bootstrapping, and causal inference. The text is primarily intended for undergraduate students in disciplines such as business administration, the social sciences, medicine, politics, and macroeconomics. 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 the methods to their own applications.


Introductory Statistics

Introductory Statistics
Author: Openstax
Publisher:
Total Pages: 914
Release: 2022-03-23
Genre: Mathematics
ISBN: 9788565775120

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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


Introductory Statistics

Introductory Statistics
Author: Robert Gould
Publisher:
Total Pages:
Release: 2013
Genre:
ISBN: 9781256676294

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Using R for Introductory Statistics

Using R for Introductory Statistics
Author: John Verzani
Publisher: CRC Press
Total Pages: 522
Release: 2018-10-03
Genre: Computers
ISBN: 1315360306

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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.


Introductory Statistics

Introductory Statistics
Author: Robert Gould
Publisher:
Total Pages: 736
Release: 2016-01-15
Genre: Statistics
ISBN: 9780321823656

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We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian students to develop a "data habit of mind." Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses