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Keep Smiling

An introduction to statistical concepts / Richard G. Lomax

By: Material type: TextTextPublication details: Lawrence Erlbaum associates,Publishers, New Jersey : 2007Edition: 2nd edDescription: xi, 472 pISBN:
  • 9780805857399 (hbk)
Subject(s): DDC classification:
  • 519.5 L837
Contents:
Preface. Introduction. Data Representation. Univariate Population Parameters and Sample Statistics. The Normal Distribution and Standard Scores. Introduction to Probability and Sample Statistics. Introduction to Hypothesis Testing: Inferences About a Single Mean. Inferences About the Difference Between Two Means. Inferences About Proportions. Inferences About Variances. Bivariate Measures of Association. One-Factor Analysis of Variance - Fixed-Effects Model. Multiple Comparison Procedures. Factorial Analysis of Variance - Fixed-Effects Model. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. Random- and Mixed-Effects Analysis of Variance Models. Hierarchical and Randomized Block Analysis of Variance Models. Simple Linear Regression. Multiple Regression.
List(s) this item appears in: Mathematics
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Item type Current library Call number Status Date due Barcode
Books Books UE-Central Library 519.5 L837 (Browse shelf(Opens below)) Available T11332
Books Books UE-Central Library 519.5 L837 (Browse shelf(Opens below)) Available T11355

Preface. Introduction. Data Representation. Univariate Population Parameters and Sample Statistics. The Normal Distribution and Standard Scores. Introduction to Probability and Sample Statistics. Introduction to Hypothesis Testing: Inferences About a Single Mean. Inferences About the Difference Between Two Means. Inferences About Proportions. Inferences About Variances. Bivariate Measures of Association. One-Factor Analysis of Variance - Fixed-Effects Model. Multiple Comparison Procedures. Factorial Analysis of Variance - Fixed-Effects Model. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. Random- and Mixed-Effects Analysis of Variance Models. Hierarchical and Randomized Block Analysis of Variance Models. Simple Linear Regression. Multiple Regression.

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