Introduction to Statistics Through Resampling Methods and R

A highly accessible alternative approach to basic statistics Praise for the First Edition: "e;Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."e; Technometrics Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote. The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: More than 250 exercises with selected "e;hints"e; scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills An increased focus on why a method is introduced Multiple explanations of basic concepts Real-life applications in a variety of disciplines Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.

A highly accessible alternative approach to basic statistics Praisefor the First Edition: "Certainly one of the most impressivelittle paperback 200-page introductory statistics books that I willever see . . . it would make a good nightstand book for everystatistician."--TechnometricsWritten in a highly accessible style, Introduction to Statisticsthrough Resampling Methods and R, Second Edition guides students inthe understanding of descriptive statistics, estimation, hypothesistesting, and model building. The book emphasizes the discoverymethod, enabling readers to ascertain solutions on their own ratherthan simply copy answers or apply a formula by rote. TheSecond Edition utilizes the R programming language to simplifytedious computations, illustrate new concepts, and assist readersin completing exercises. The text facilitates quick learningthrough the use of:More than 250 exercises--with selected "hints"--scatteredthroughout to stimulate readers' thinking and to actively engagethem in applying their newfound skillsAn increased focus on why a method is introducedMultiple explanations of basic conceptsReal-life applications in a variety of disciplinesDozens of thought-provoking, problem-solving questions in the finalchapter to assist readers in applying statistics to real-lifeapplicationsIntroduction to Statistics through Resampling Methods and R, SecondEdition is an excellent resource for students and practitioners inthe fields of agriculture, astrophysics, bacteriology, biologybotany, business, climatology, clinical trials, economicseducation, epidemiology, genetics, geology, growth processeshospital administration, law, manufacturing, marketing, medicinemycology, physics, political science, psychology, social welfaresports, and toxicology who want to master and learn to applystatistical methods.

Preface xi1. Variation 11.1 Variation 11.2 Collecting Data 21.3 Summarizing Your Data 41.4 Reporting Your Results 71.5 Types of Data 111.6 Displaying Multiple Variables 121.7 Measures of Location 151.8 Samples and Populations 201.9 Summary and Review 232. Probability 252.1 Probability 252.2 Binomial Trials 292.3 Conditional Probability 342.4 Independence 382.5 Applications to Genetics 392.6 Summary and Review 403. Two Naturally Occurring Probability Distributions 433.1 Distribution of Values 433.2 Discrete Distributions 463.3 The Binomial Distribution 473.4 Measuring Population Dispersion and Sample Precision 513.5 Poisson: Events Rare in Time and Space 533.6 Continuous Distributions 553.7 Summary and Review 574. Estimation and the Normal Distribution 594.1 Point Estimates 594.2 Properties of the Normal Distribution 614.3 Using Confidence Intervals to Test Hypotheses 654.4 Properties of Independent Observations 694.5 Summary and Review 705. Testing Hypotheses 715.1 Testing a Hypothesis 715.2 Estimating Effect Size 765.3 Applying the t-Test to Measurements 795.4 Comparing Two Samples 815.5 Which Test Should We Use? 845.6 Summary and Review 896. Designing an Experiment or Survey 916.1 The Hawthorne Effect 916.2 Designing an Experiment or Survey 946.3 How Large a Sample? 1046.4 Meta-Analysis 1166.5 Summary and Review 1167. Guide to Entering, Editing, Saving, and Retrieving Large Quantities of Data Using R 1197.1 Creating and Editing a Data File 1207.2 Storing and Retrieving Files from within R 1207.3 Retrieving Data Created by Other Programs 1217.4 Using R to Draw a Random Sample 1228. Analyzing Complex Experiments 1258.1 Changes Measured in Percentages 1258.2 Comparing More Than Two Samples 1268.3 Equalizing Variability 1318.4 Categorical Data 1328.5 Multivariate Analysis 1398.6 R Programming Guidelines 1448.7 Summary and Review 1489. Developing Models 1499.1 Models 1499.2 Classification and Regression Trees 1529.3 Regression 1609.4 Fitting a Regression Equation 1629.5 Problems with Regression 1699.6 Quantile Regression 1749.7 Validation 1769.8 Summary and Review 17810. Reporting Your Findings 18110.1 What to Report 18110.2 Text, Table, or Graph? 18510.3 Summarizing Your Results 18610.4 Reporting Analysis Results 19110.5 Exceptions Are the Real Story 19310.6 Summary and Review 19511. Problem Solving 19711.1 The Problems 19711.2 Solving Practical Problems 201Answers to Selected Exercises 205Index 207