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Statistical Methods in the Biological and Health Sciences

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ISBN-10: 0072901489

ISBN-13: 9780072901481

Edition: 3rd 1999 (Revised)

Authors: J. Susan Milton

List price: $150.31
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Book details

List price: $150.31
Edition: 3rd
Copyright year: 1999
Publisher: McGraw-Hill Higher Education
Publication date: 8/17/1998
Binding: Hardcover
Pages: 600
Size: 7.50" wide x 9.25" long x 1.00" tall
Weight: 2.288
Language: English

Descriptive Methods
Distribution Tables: Discrete Data Bar Graphs Bivariate Data: Two-Way Tables
A Quick Look at Distribution: Stem and Leaf Constructing a Simple Stem-and-Leaf Diagram
Frequency Distributions: Histograms Rules for Breaking Data into Classes Cumulative Distribution
Measures of Location or Central Tendency Sample Mean Sample Median
Measures of Variability or Dispersion Sample Variance Sample Standard Deviation Sample Range Interquartile Range Finding the Sample Interquartile Range Multiple Data Sets
Box Plots Constructing a Box Plot
Introduction to Probability and Counting
Interpreting Probablilities
Tree Diagrams and Elementary Genetics Elementary Genetics
Permutations and Combinations
Multiplication Principle Guidelines for Using the Multiplication Principle
Permutations of Indistinguishable Objects
Combinations
Probability and Problem Solving
Venn Diagrams and the Axioms of Probability Venn Diagrams Axioms of Probability
General Addition Rule
Conditional Probability
Diagnostic Tests and Relative Risk Relative Risk
Independence
The Multiplication Rule
Bayes' Theorem
Discrete Random Variables
Discrete and Continuous Variables
Discrete Density Functions and Expectation Expectation
Cumulative Distribution Function
Binomial Distribution Expected Value and Variance: Binomial Calculating Binomial Probabilities: Cumulative Distribution
Poisson Distribution
Continuous Random Variables
Continuous Random Variables Expectation
Cumulative Distribution Function
Normal Distribution Properties of Normal Curves Standard Normal Distribution Standardization
Normal Probability Rule and Medical Tables
Inferences on the Mean
Random Sampling and Randomization Simple Random Sampling Randomization
Point Estimation of the Mean and Introduction to Interval Estimation: Central Limit Theorem Interval Estimation Central Limit Theorem
Confidence Interval on the Population Mean and the T Distribution Properties of T Random Variables
Introduction to Hypothesis Testing
Testing Hypotheses on the Population Mean: T Test Preset Alpha Values
Sample Size: Confidence Intervals and Power Sample Size: Hypothesis Testing
Chi-Squared Distribution and Inferences on the Variance
Chi-Squared Distribution and Interval Estimation of the Population Variance Confidence Interval on s2
Testing Hypotheses on the Population Variance
Inferences on Proportions
Point Estimation
Interval Estimation of p
Sample Size for Estimating p
Hypothesis Testing on p
Comparing Two Proportions: Estimation Confidence Interval on the Difference in Two Proportions
Comparing Two Proportions: Hypothesis Testing Testing That the Null Value Is Zero: Pooled Test
Comparing Two Means and Two Variances
Comparing Two Means and Two Variances
Comparing Variances: F Distribution Rule of Thumb Variance Comparison F Test for Comparing Variances: F Distribution
Inferences on m1 - m2: Pooled T Interval Estimation of m1 - m2 Pooled T Tests
Inferences on m1 - m2: Unequal Variances
Inferences on m1 - m2: Paired T Paired T Test
k-Sample Procedures: Introduction to Design
One-Way Classification, Completely Random Design with Fixed Effects Data Format and Notation
Paired and Multiple Comparisons Bonferroni T Tests: Paired Comparisons Duncan's Multiple Range Test A Note on Computing
Random Effects
Randomized Complete Blocks