MTU Cork Library Catalogue

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Biostatistical analysis / Jerrold H. Zar.

By: Zar, Jerrold H, 1941- [author.].
Material type: materialTypeLabelBookPublisher: Upper Saddle River, N.J. : Prentice-Hall International, [1996]Copyright date: ©1996Edition: Third edition.Description: x, 121 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 013086398X (paperback); 9780130863980 (paperback).Subject(s): BiometryDDC classification: 570.15195
Contents:
Introduction -- Populations and samples -- Measures of central tendency -- Measures of dispersion and variability -- Probabilities -- The normal distribution -- One-sample hypotheses -- Two-sample hypotheses -- Paired-sample hypotheses -- Multisample hypotheses: the analysis of variance -- Multiple comparisons -- Two-factor analysis of variance -- Data transformations -- Multiway factorial analysis of variance -- Nested (hierarchical) analysis of variance -- Simple linear regression -- Comparing simple linear regression equations -- Simple linear correlation -- Multiple regression and correlation -- Polynomial regression -- Testing for goodness of fit -- Contingency tables -- More on dichotomous variables -- Testing for randomness -- Circular distributions: descriptive statistics -- Circular distributions: hypothesis testing.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 570.15195 (Browse shelf(Opens below)) 1 Available 00009936
Total holds: 0

Enhanced descriptions from Syndetics:

This work looks at the statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research data. No statistical background is assumed beyond simple algebra, and students are encouraged to think about the value of each staistical technique.

Previous ed.: 1984.

Includes bibliographical references and index.

Introduction -- Populations and samples -- Measures of central tendency -- Measures of dispersion and variability -- Probabilities -- The normal distribution -- One-sample hypotheses -- Two-sample hypotheses -- Paired-sample hypotheses -- Multisample hypotheses: the analysis of variance -- Multiple comparisons -- Two-factor analysis of variance -- Data transformations -- Multiway factorial analysis of variance -- Nested (hierarchical) analysis of variance -- Simple linear regression -- Comparing simple linear regression equations -- Simple linear correlation -- Multiple regression and correlation -- Polynomial regression -- Testing for goodness of fit -- Contingency tables -- More on dichotomous variables -- Testing for randomness -- Circular distributions: descriptive statistics -- Circular distributions: hypothesis testing.

Table of contents provided by Syndetics

  • 1 Introduction
  • 2 Populations and Samples
  • 3 Measures of Central Tendency
  • 4 Measures of Dispersion and Variability
  • 5 Probabilities
  • 6 The Normal Distribution
  • 7 One-Sample Hypotheses
  • 8 Two-Sample Hypotheses
  • 9 Paired-Sample Hypotheses
  • 10 Multisample Hypotheses: The Analysis of Variance
  • 11 Multiple Comparisons
  • 12 Two-Factor Analysis of Variance
  • 13 Data Transformations
  • 14 Multiway Factorial Analysis of Variance
  • 15 Nested (Hierarchical) Analysis of Variance
  • 16 Multivariate Analysis of Variance
  • 17 Simple Linear Regression
  • 18 Comparing Simple Linear Regression Equations
  • 19 Simple Linear Correlation
  • 20 Multiple Regression and Correlation
  • 21 Polynomial Regression
  • 22 Testing for Goodness of Fit
  • 23 Contingency Tables
  • 24 More on Dichotomous Variables
  • 25 Testing for Randomness
  • 26 Circular Distributions: Descriptive Statistics
  • 27 Circular Distributions: Hypothesis Testing
  • Appendix A Analysis of Variance Hypothesis Testing
  • Appendix B Statistical Tables and Graphs
  • Answers to Exercises
  • Literature Cited
  • Index

Reviews provided by Syndetics

Library Journal Review

This book combines useful explanations of statistical methods in the biological sciences with statistical graphs and tables frequently employed by researchers. It requires no previous knowledge of statistics and can be used as a reference tool for those looking for information on population sampling, frequency analysis, probabilities, and more. (c) Copyright 2010. Library Journals LLC, a wholly owned subsidiary of Media Source, Inc. No redistribution permitted.

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