book

Understanding and Applying Basic Statistical Methods Using R

Name: Understanding and Applying Basic Statistical Methods Using R
Author: Rand R. Wilcox
ISBN: 9781119061397

by Rand R. Wilcox

June 2016

Beginner

504 pages

14h 23m

English

Wiley

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Title Page
Copyright
List of Symbols
Preface
About The Companion Website
Chapter 1: Introduction
1.4 R Packages1.5 Access to Data Used in This Book1.6 Accessing More Detailed Answers to The Exercises1.7 Exercises
Chapter 2: Numerical Summaries of Data
2.1 Summation Notation2.2 Measures of Location2.3 Quartiles2.4 Measures of Variation2.5 Detecting Outliers2.6 Skipped Measures of Location2.7 Summary2.8 Exercises
Chapter 3: Plots Plus More Basics on Summarizing Data
3.1 Plotting Relative Frequencies3.2 Histograms and Kernel Density Estimators3.3 Boxplots and Stem-and-Leaf Displays3.4 Summary3.5 Exercises
Chapter 4: Probability and Related Concepts
4.1 The Meaning of Probability4.2 Probability Functions4.3 Expected Values, Population Mean and Variance4.4 Conditional Probability and Independence4.5 The Binomial Probability Function4.6 The Normal Distribution4.7 Nonnormality and The Population Variance4.8 Summary4.9 Exercises
Chapter 5: Sampling Distributions
5.1 Sampling Distribution of , The Proportion of Successes5.2 Sampling Distribution of the Mean Under Normality5.3 Nonnormality and the Sampling Distribution of the Sample Mean5.4 Sampling Distribution of the Median and 20% Trimmed Mean5.5 The Mean Versus the Median and 20% Trimmed Mean5.6 Summary5.7 Exercises

Chapter 6: Confidence Intervals
6.1 Confidence Interval for The Mean6.2 Confidence Intervals for The Mean Using s ( Not Known)6.3 A Confidence Interval for The Population Trimmed Mean6.4 Confidence Intervals for The Population Median6.5 The Impact of Nonnormality on Confidence Intervals6.6 Some Basic Bootstrap Methods6.7 Confidence Interval for The Probability of Success6.8 Summary6.9 Exercises
Chapter 7: Hypothesis Testing
7.1 Testing Hypotheses about the Mean, Known7.2 Power and Type II Errors7.3 Testing Hypotheses about the mean, Not Known7.4 Student's T and Nonnormality7.5 Testing Hypotheses about Medians7.6 Testing Hypotheses Based on a Trimmed Mean7.7 Skipped Estimators7.8 Summary7.9 Exercises
Chapter 8: Correlation and Regression
8.1 Regression Basics8.2 Least Squares Regression8.3 Dealing with Outliers8.4 Hypothesis Testing8.5 Correlation8.6 Detecting Outliers When Dealing with Two or More Variables8.7 Measures of Association: Dealing with Outliers8.8 Multiple Regression8.9 Dealing with Curvature8.10 Summary8.11 Exercises
Chapter 9: Comparing Two Independent Groups
9.1 Comparing Means9.2 Comparing Medians9.3 Comparing Trimmed Means9.4 Tukey's Three-Decision Rule9.5 Comparing Variances9.6 Rank-Based (Nonparametric) Methods9.7 Measuring Effect Size9.8 Plotting Data9.9 Comparing Quantiles9.10 Comparing Two Binomial Distributions9.11 A Method for Discrete or Categorical Data9.12 Comparing Regression Lines9.13 Summary9.14 Exercises
Chapter 10: Comparing More than Two Independent Groups
10.1 The Anova Test10.2 Dealing With Unequal Variances: Welch's Test10.3 Comparing Groups Based on Medians10.4 Comparing Trimmed Means10.5 Two-Way Anova10.6 Rank-Based Methods10.7 R Functions and 10.8 Summary10.9 Exercises
Chapter 11: Comparing Dependent Groups
11.1 The Paired Test11.2 Comparing Trimmed Means and Medians11.3 The Sign Test11.4 Wilcoxon Signed Rank Test11.5 Comparing Variances11.6 Dealing With More Than Two Dependent Groups11.7 Between-by-Within Designs11.8 Summary11.9 Exercises
Chapter 12: Multiple Comparisons
12.1 Classic Methods For Independent Groups12.2 The Tukey–Kramer Method12.3 Scheffé's Method12.4 Methods That Allow Unequal Population Variances12.5 Anova Versus Multiple Comparison Procedures12.6 Comparing Medians12.7 Two-Way Anova Designs12.8 Methods For Dependent Groups12.9 Summary12.10 Exercises
Chapter 13: Categorical Data
13.1 One-Way Contingency Tables13.2 Two-Way Contingency Tables13.3 Logistic Regression13.4 Summary13.5 Exercises
Appendix A: Solutions to Selected Exercises
Appendix B: Tables
References
Index
End User License Agreement

Content preview from Understanding and Applying Basic Statistical Methods Using R

Appendix BTABLES

Table B.1	Standard Normal Distribution
Table B.2	Binomial Probability Function
Table B.3	Percentage Points of the Chi-squared Distribution
Table B.4	Percentage Points of Student's $bapp02-math-0001$ Distribution
Table B.5	Percentage Points of the $bapp02-math-0002$ Distribution, $bapp02-math-0003$
Table B.6	Percentage Points of the $bapp02-math-0004$ Distribution, $bapp02-math-0005$
Table B.7	Percentage Points of the $bapp02-math-0006$ Distribution, $bapp02-math-0007$
Table B.8	Percentage Points of the $bapp02-math-0008$ Distribution, $bapp02-math-0009$
Table B.9	Percentage Points of the Studentized Range Distribution
Table B.10	Studentized Maximum Modulus Distribution

Table B.1 Standard Normal Distribution ...

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Understanding and Applying Basic Statistical Methods Using R

by Rand R. Wilcox

Appendix BTABLES

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