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An introduction to statistical methods and data analysis / Lyman Ott.

By: Material type: TextTextLanguage: English Copyright date: Boston : PWS-Kent Publishing Company ; 1988Edition: Third EditionDescription: xiii, 835 (A-110) pages : illustrations ; 24 cmISBN:
  • 053491926X
  • 9780534919269
Other title:
  • Statistical methods and data analysis [Portion of title]
Subject(s): DDC classification:
  • 519.5
Partial contents:
1 What is statistics? -- 2 Data description -- 3 Probability and probability distributions -- 4 Inferences about m -- 5 Inferences about m₁ - m₂ -- 6 Categorical data -- 7 Inferences about population variances -- 8 Linear regression and correlation -- 9 Inferences related to linear regression and correlation -- 10 Introduction to the analysis of variance -- 11 Multiple comparisons -- 12 Multiple regression and the general linear model -- 13 More on multiple regression -- 14 Analysis of variance for some standard experimental designs -- 15 Analysis of variance for some unbalanced designs -- 16 Analysis of variance for some fixed, random, and mixed effects models -- 17 Experiments with repeated measures (optional) -- 18 The analysis of covariance -- 19 Data management and report preparation.
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Colección general Colección general Biblioteca Yachay Tech 519.5 O892i 1988 (Browse shelf(Opens below)) Ej. 1 Available 005965
Total holds: 0

Includes appendix (pages A1-A37), answers to selected exercises (A44-A100) and index (A101-A110).

Includes references (pages A38-A43).

1 What is statistics? -- 2 Data description -- 3 Probability and probability distributions -- 4 Inferences about m -- 5 Inferences about m₁ - m₂ -- 6 Categorical data -- 7 Inferences about population variances -- 8 Linear regression and correlation -- 9 Inferences related to linear regression and correlation -- 10 Introduction to the analysis of variance -- 11 Multiple comparisons -- 12 Multiple regression and the general linear model -- 13 More on multiple regression -- 14 Analysis of variance for some standard experimental designs -- 15 Analysis of variance for some unbalanced designs -- 16 Analysis of variance for some fixed, random, and mixed effects models -- 17 Experiments with repeated measures (optional) -- 18 The analysis of covariance -- 19 Data management and report preparation.

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