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An introduction to statistical methods & data analysis / R. Lyman Ott, Michael Longnecker, Texas A & M University.

By: Contributor(s): Material type: TextTextEdition: Seventh editionDescription: xv, 1174 pages : illustrations (some color) ; 26 cmISBN:
  • 9781305269477 (hbk.)
  • 1305269470
Other title:
  • Introduction to statistical methods and data analysis
Subject(s): Genre/Form: LOC classification:
  • QA276 .O88 2016
Contents:
Statistics and the scientific method -- Using surveys and experimental studies to gather data -- Data description -- Probability and probability distributions -- Inferences about population central values -- Inferences comparing two population central values -- Inferences about population variances -- Inferences about more than two population central values -- Multiple comparisons -- Categorical data -- Linear regression and correlation -- Multiple regression and the general linear model -- Further regression topics -- Analysis of variance for completely randomized designs -- Analysis of variance for blocked designs -- The analysis of covariance -- Analysis of variance for some fixed-, random-, and mixed-effects models -- Split-plot, repeated measures, and crossover designs -- Analysis of variance for some unbalanced designs.
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Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode
Books Books Zetech Library - Mang'u General Stacks Non-fiction QA276 .O88 2016 (Browse shelf(Opens below)) C .1 Available Z009276
Books Books Zetech Library - TRC General Stacks Non-fiction QA276 .O88 2016 (Browse shelf(Opens below)) C.2 Available Z009596

Includes bibliographical references and index.

Statistics and the scientific method -- Using surveys and experimental studies to gather data -- Data description -- Probability and probability distributions -- Inferences about population central values -- Inferences comparing two population central values -- Inferences about population variances -- Inferences about more than two population central values -- Multiple comparisons -- Categorical data -- Linear regression and correlation -- Multiple regression and the general linear model -- Further regression topics -- Analysis of variance for completely randomized designs -- Analysis of variance for blocked designs -- The analysis of covariance -- Analysis of variance for some fixed-, random-, and mixed-effects models -- Split-plot, repeated measures, and crossover designs -- Analysis of variance for some unbalanced designs.

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