MTU Cork Library Catalogue

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Biostatistics for the biological and health sciences : with Statdisk / Marc M Triola and Mario F. Triola.

By: Triola, Marc M.
Contributor(s): Triola, Mario F.
Material type: materialTypeLabelBookPublisher: Upper Saddle River NJ : Pearson Education, 2008Description: xix, 699 p. : col. ill. ; 26 cm.ISBN: 9780321546494.Subject(s): Biometry | Medical statisticsDDC classification: 570.15195
Contents:
Introduction to statistics -- Describing, exploring, and comparing data -- Probability -- Discrete probability distributions -- Normal probability distribution -- Estimates and smple sizes with one sample -- Hypothesis testing with one sample -- Inferences from two Ssmples -- Correlation and regression -- Multinomial experiments and contingency tables -- Analysis of variance -- Nonparametric statistics -- Life tables.
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 00163152
Total holds: 0

Enhanced descriptions from Syndetics:

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide the best possible introduction to statistics for students and professors in the biological, life, and health sciences. This goal is realized through a friendly writing style, content that reflects the important features of a modern introductory statistics course, an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.

Includes index.

Introduction to statistics -- Describing, exploring, and comparing data -- Probability -- Discrete probability distributions -- Normal probability distribution -- Estimates and smple sizes with one sample -- Hypothesis testing with one sample -- Inferences from two Ssmples -- Correlation and regression -- Multinomial experiments and contingency tables -- Analysis of variance -- Nonparametric statistics -- Life tables.

CIT Module STAT 9003 - Supplementary reading.

Table of contents provided by Syndetics

  • 1 Introduction to Statistics
  • 1-1 Overview
  • 1-2 Types of Data
  • 1-3 Design of Experiments
  • 2 Describing, Exploring, and Comparing Data
  • 2-1 Overview
  • 2-2 Frequency Distributions
  • 2-3 Visualizing Data
  • 2-4 Measures of Center
  • 2-5 Measures of Variation
  • 2-6 Measures of Relative Standing
  • 2-7 Exploratory Data Analysis (EDA)
  • 3 Probability
  • 3-1 Overview
  • 3-2 Fundamentals
  • 3-3 Addition Rule
  • 3-4 Multiplication Rule: Basics
  • 3-5 Multiplication Rule: Conditional Probability
  • 3-6 Relative Risk and Odds Ratio
  • 3-7 Rates of Mortality, Fertility, and Morbidity
  • 3-8 Counting Methods
  • 4 Discrete Probability Distributions
  • 4-1 Overview
  • 4-2 Random Variables
  • 4-3 Binomial Probability Distributions
  • 4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
  • 4-5 The Poisson Distribution
  • 5 Normal Probability Distributions
  • 5-1 Overview
  • 5-2 The Standard Normal Distribution
  • 5-3 Applications of Normal Distributions
  • 5-4 Sampling Distributions and Estimators
  • 5-5 The Central Limit Theorem
  • 5-6 Normal Approximation to Binomial
  • 5-7 Assessing Normality
  • 6 Estimates and Sample Sizes with One Sample
  • 6-1 Overview
  • 6-2 Estimating a Population Proportion
  • 6-3 Estimating a Population Mean: s Known
  • 6-4 Estimating a Population Mean: s Not Known
  • 6-5 Estimating a Population Variance
  • 7 Hypothesis Testing with One Sample
  • 7-1 Overview
  • 7-2 Basics of Hypothesis Testing
  • 7-3 Testing a Claim about a Proportion
  • 7-4 Testing a Claim about a Mean: s Known
  • 7-5 Testing a Claim about a Mean: s Not Known
  • 7-6 Testing a Claim about Variation
  • 8 Inferences from Two Samples
  • 8-1 Overview
  • 8-2 Two Proportions
  • 8-3 Two Means: Independent Samples
  • 8-4 Two Means: Matched Pairs
  • 8-5 Odds Ratios
  • 8-6 Variation in Two Samples
  • 9 Correlation and Regression
  • 9-1 Overview
  • 9-2 Correlation
  • 9-3 Regression
  • 9-4 Variation and Prediction Intervals
  • 9-5 Multiple Regression
  • 10 Multinomial Experiments and Contingency Tables
  • 10-1 Overview
  • 10-2 Multinomial Experiments: Goodness-0f-Fit
  • 10-3 Contingency Tables: Independence and Homogeneity
  • 10-4 McNemar's Test for Matched Pairs
  • 11 Analysis of Variance
  • 11-1 Overview
  • 11-2 One-Way ANOVA
  • 11-3 Two-Way ANOVA
  • 12 Nonparametric Statistics
  • 12-1 Overview
  • 12-2 Sign Test
  • 12-3 Wilcoxon Signed-Ranks Test for Matched Pairs
  • 12-4 Wilcoxon Rank-Sum Test for Two Independent Samples
  • 12-5 Kruskal-Wallis Test
  • 12-6 Rank Correlation
  • 13 Life Tables
  • 13-1 Overview
  • 13-2 Elements of a Life Table
  • 13-3 Applications of Life Tables
  • Appendix A Tables
  • Appendix B Data Sets
  • Appendix C Answers to Odd-Numbered Exercises

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