Preface
1.1 Introduction
1.2 Populations
and Samples
1.3 Variables
or Data Types
1.4 Measures
of Central Tendency: Mean, Median, and Mode
1.5 Measures
of Dispersion and Variability: Variance, Standard Deviation, and Range
1.6 Descriptive
Statistics for Frequency Tables or Grouped Data
1.7 The Effect of
Coding Data
1.8 Tables and
Graphs
1.9 Quartiles and
Box Plots
1.10 Accuracy,
Precision, and the 30-300 Rule
1.11 Problems
2.1 Definitions
2.2 Use of
Permutations and the Combinations
2.3 Introduction
to Set Theory and Venn Diagrams
2.4 Axioms and
Rules of Probability
2.5 The
Application of Probability Rules to Mendelian Genetics Problems
2.6 Problems
3.1 Discrete
Random Variables
3.2 The Binomial
Distribution
3.3 The Poisson
Distribution
3.4 Continuous
Random Variables
3.5 The Normal
Distribution
3.6 The Standard
Normal Distribution
3.7 Problems
4.1 Definitions
4.2 Distribution
of the Sample Mean
4.3 Confidence
Intervals for the Population Mean
4.4 Confidence
Intervals for the Population Variance
4.5 Population
Proportion Confidence Intervals
4.6 Problems
5.1 An Overview:
The Famous Cornflakes Example
5.2 Typical Steps
in a Statistical Test of Hypothesis
5.3 Type I versus
Type II Errors in Hypothesis Testing
5.4 Binomial
Example of Hypothesis Testing
5.5 Problems
6.1 Hypotheses
Involving the Mean
6.2 Hypotheses
Involving the Variance
6.3 Nonparametric
Statistics and Hypothesis Testing
6.4 The
One-Sample Sign Test
6.5 Confidence
Intervals Based on the Sign Test
6.6 The
One-Sample Wilcoxon Signed-Rank Test
6.7 The Wilcoxon
Signed-Rank Test: Alternative Method
6.8 Problems
7.1 Comparing Two
Variances
7.2 Testing the
Difference between Two Means of Independent Samples
7.3 Confidence
Intervals for µ1 - µ2
7.4 The
Difference between Two Means with Paired Data
7.5 The Wilcoxon
Rank Sum (Mann-Whitney U) Test
7.6 Confidence
Intervals for MX - MY
7.7 The Sign Test
and Paired Data
7.8 The Wilcoxon
Signed-Rank Test for Paired Data
7.9 Problems
8 k-Sample Tests of
Hypothesis: The Analysis of Variance
8.1 One-Way
Classification, Completely Randomized Design with Fixed Effects: Model I ANOVA
8.2 Mean
Separation Techniques for Model I ANOVAs
8.3 Model II
ANOVA
8.4 The
Kruskal-Wallis Test: A Nonparametric Analog to a Model I One-Way ANOVA
8.5 Problems
9.1 Randomized Complete
Block Design ANOVA
9.2 Factorial
Design Two-Way ANOVA
9.3 The Friedman k-Sample
Test: Matched Data
9.4 Problems
10.1 Simple
Linear Regression
10.2 Simple
Linear Correlation Analysis
10.3 Correlation
Analysis Based on Ranks
10.4 Problems
11.1 The Binomial
Test
11.2 The
Chi-Square Test for Goodness of Fit
11.3 The
Chi-Square Test for r x k Contingency Tables
11.4
Kolmogorov-Smirnov Test
11.5 Problems
Appendix A Proofs
of Selected Results
Appendix B
Answers to Even-Numbered Problems
Appendix C Tables
of Distributions and Critical Values
References
Index