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Statistics with R : a beginner's guide / Robert Stinerock.

By: Publisher: London ; Thousand Oaks, California : SAGE Publications Ltd, [2023]Copyright date: ©2023Edition: Second editionDescription: xvii, 428 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781529753530
  • 1529753538
  • 9781529753523
  • 152975352X
Subject(s): Additional physical formats: Online version:: Statistics with R.DDC classification:
  • 519.5 23 S859
Contents:
1. Introduction and R Instructions -- 2. Descriptive Statistics: Tabular and Graphical Methods -- 3. Descriptive Statistics: Numerical Methods -- 4. Introduction to Probability -- 5. Discrete Probability Distributions -- 6. Continuous Probability Distributions -- 7. Point Estimation and Sampling Distributions -- 8. Confidence Interval Estimation -- 9. Hypothesis Tests: Introduction, Basic Concepts, and an Example -- 10. Hypothesis Tests About Means and Proportions: Applications -- 11. Comparisons of Means and Proportions -- 12. Simple Linear Regression -- 13. Multiple Regression.
Summary: "With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience. With a wealth of hands-on exercises and online resources created by the author, practice your skills using the data sets and R scripts from the book with detailed screencasts that accompany each script."--Publisher's website.
Item type: كتاب
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Previous edition: 2018.

Includes index.

1. Introduction and R Instructions -- 2. Descriptive Statistics: Tabular and Graphical Methods -- 3. Descriptive Statistics: Numerical Methods -- 4. Introduction to Probability -- 5. Discrete Probability Distributions -- 6. Continuous Probability Distributions -- 7. Point Estimation and Sampling Distributions -- 8. Confidence Interval Estimation -- 9. Hypothesis Tests: Introduction, Basic Concepts, and an Example -- 10. Hypothesis Tests About Means and Proportions: Applications -- 11. Comparisons of Means and Proportions -- 12. Simple Linear Regression -- 13. Multiple Regression.

"With a clear step-by-step approach explained using real world examples, learn the practical skills you need to use statistical methods in your research from an expert with over 30 years of teaching experience. With a wealth of hands-on exercises and online resources created by the author, practice your skills using the data sets and R scripts from the book with detailed screencasts that accompany each script."--Publisher's website.