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Discovering statistics using R/ Andy Field, Jeremy Mils and Zoe Field.

By: Contributor(s): Material type: TextTextLanguage: English Publication details: New Delhi, India: Sage Publications, 2022.Description: xli, 1030 pages; illustrations; 23 cmISBN:
  • 9789354790805
Subject(s): DDC classification:
  • 519.50285 FIE
Contents:
1.Why Is My Evil Lecturer Forcing Me to Learn Statistics? 2.Everything You Ever Wanted to Know about Statistics (Well, Sort of) 3.The R Environment Exploring Data with Graphs 4.Exploring Assumptions 5.Correlation 6.Regression 7.Logistic Regression 8.Comparing Two Means 9.Comparing Several Means: ANOVA (GLM 1) 10.Analysis of Covariance, ANCOVA (GLM 2) 11.Factorial ANOVA (GLM 3) 12.Repeated-measures Designs (GLM 4) 13. Mixed Designs (GLM 5) 14.Non-parametric Tests 15.Multivariate Analysis of Variance (MANOVA) 16.Exploratory Factor Analysis 17.Categorical Data 18. Multilevel Linear Models 19.Epilogue: Life after Discovering Statistics 20.Troubleshooting R Glossary Appendix References Index
Summary: Discovering Statistics Using R uses an irreverent and innovative approach to explain how students can use R to approach statistical problems. It introduces readers to the software environment of R and shows how it can be used in the field of statistics. The authors understand that the concepts of statistics can be difficult to access, so they use humour, and informal and conversational language for easy comprehension. The book includes multiple engaging examples and simple problems to ensure that the concepts of the software, as well as the statistical concepts, can be easily understood by the readers. Given this book’s accessibility, fun spirit, and use of bizarre real-world research, it is essential for anyone wanting to learn about statistics using the freely available R software.
List(s) this item appears in: New Arrivals - May 1st to 31st 2024
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Holdings
Item type Current library Call number Status Date due Barcode
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48062
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48063
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48064
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48065
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48066
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48067
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48068
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48069
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48070
Books Institute of Public Enterprise, Library S Campus 519.50285 FIE (Browse shelf(Opens below)) Available 48071

Includes Bibliography and index.

1.Why Is My Evil Lecturer Forcing Me to Learn Statistics?
2.Everything You Ever Wanted to Know about Statistics (Well, Sort of)
3.The R Environment Exploring Data with Graphs
4.Exploring Assumptions
5.Correlation
6.Regression
7.Logistic Regression
8.Comparing Two Means
9.Comparing Several Means: ANOVA (GLM 1)
10.Analysis of Covariance, ANCOVA (GLM 2)
11.Factorial ANOVA (GLM 3)
12.Repeated-measures Designs (GLM 4)
13. Mixed Designs (GLM 5)
14.Non-parametric Tests
15.Multivariate Analysis of Variance (MANOVA)
16.Exploratory Factor Analysis
17.Categorical Data
18. Multilevel Linear Models
19.Epilogue: Life after Discovering Statistics
20.Troubleshooting R Glossary Appendix References Index

Discovering Statistics Using R uses an irreverent and innovative approach to explain how students can use R to approach statistical problems. It introduces readers to the software environment of R and shows how it can be used in the field of statistics. The authors understand that the concepts of statistics can be difficult to access, so they use humour, and informal and conversational language for easy comprehension. The book includes multiple engaging examples and simple problems to ensure that the concepts of the software, as well as the statistical concepts, can be easily understood by the readers. Given this book’s accessibility, fun spirit, and use of bizarre real-world research, it is essential for anyone wanting to learn about statistics using the freely available R software.

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