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Basic statistics : an introduction with R / Tenko Raykov, Michigan State University and George A. Marcoulides, University of California at Riverside.

By: Contributor(s): Material type: TextTextPublisher: Lanham : Rowman and Littlefield Publishers, Incorporated, [2013]Description: 1 online resource (xii, 331 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781442218482
  • 1442218487
  • 9781283833837
  • 1283833832
Subject(s): Genre/Form: Additional physical formats: Print version:: Basic statisticsDDC classification:
  • 519.5 23
LOC classification:
  • QA276.45.R3
Online resources:
Contents:
Statistics and data -- An introduction to descriptive statistics: data description and graphical representation -- Data description: measures of central tendency and variability -- Probability -- Probability distributions of random variables -- Random sampling distributions and the central limit theorem -- Inferences about single population means -- Inferences about population means when variances are unknown -- Inferences about population variances -- Analysis of categorical data -- Correlation -- Simple linear regression -- Multiple regression analysis -- Analysis of variance and covariance -- Modeling discrete response variables.
Summary: Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

Description based on print version record and CIP data provided by publisher; resource not viewed.

Statistics and data -- An introduction to descriptive statistics: data description and graphical representation -- Data description: measures of central tendency and variability -- Probability -- Probability distributions of random variables -- Random sampling distributions and the central limit theorem -- Inferences about single population means -- Inferences about population means when variances are unknown -- Inferences about population variances -- Analysis of categorical data -- Correlation -- Simple linear regression -- Multiple regression analysis -- Analysis of variance and covariance -- Modeling discrete response variables.

Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.

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