Statistics: An Introduction Using R, Second Edition
- 5h 19m
- Michael J. Crawley
- John Wiley & Sons (UK)
- 2014
This new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed to analyse the data from research projects, including elementary material like t--tests and chi--squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
Includes numerous worked examples and exercises within each chapter.
In this Book
-
Fundamentals
-
Dataframes
-
Central Tendency
-
Variance
-
Single Samples
-
Two Samples
-
Regression
-
Analysis of Variance
-
Analysis of Covariance
-
Multiple Regression
-
Contrasts
-
Other Response Variables
-
Count Data
-
Proportion Data
-
Binary Response Variable
-
Death and Failure Data
SHOW MORE
FREE ACCESS
