Publisher:

Chapman & Hall/CRC

Number of Pages:

415

Price:

69.95

ISBN:

9781439825556

Date Received:

Tuesday, September 28, 2010

Reviewable:

No

Reviewer Email Address:

Publication Date:

2011

Format:

Paperback

Audience:

Category:

Textbook

**Description of Samples and Populations**

Data types

Visualizing categorical data

Visualizing quantitative data

Statistical summaries

What is a probability?**Linear Regression**

Fitting a regression line

When is linear regression appropriate?

The correlation coefficient

Perspective

**Comparison of Groups**Graphical and simple numerical comparison

Between-group variation and within-group variation

Populations, samples, and expected values

Least squares estimation and residuals

Paired and unpaired samples

Perspective

Properties

One sample

Are the data (approximately) normally distributed?

The central limit theorem

**Statistical Models, Estimation, and Confidence Intervals**Statistical models

Estimation

Confidence intervals

Unpaired samples with different standard deviations

Null hypotheses

Tests in a one-way ANOVA

Hypothesis tests as comparison of nested models

Type I and type II errors

Model validation

Prediction

Multiple linear regression

Additive two-way analysis of variance

Linear models

Interactions between variables

Conditional probabilities

Independence

The independent trials model

The binomial distribution

Estimation, confidence intervals, and hypothesis tests

Differences between proportions

The chi-square test for goodness-of-fit

2 × 2 contingency table

Two-sided contingency tables

Logistic regression models

Estimation and confidence intervals

Hypothesis tests

Model validation and prediction

Case 2: Data transformations

Case 3: Two sample comparisons

Case 4: Linear regression with and without intercept

Case 5: Analysis of variance and test for linear trend

Case 6: Regression modeling and transformations

Case 7: Linear models

Case 8: Binary variables

Case 9: Agreement

Case 10: Logistic regression

**Appendix A: Summary of Inference Methods**

Statistical concepts

Statistical analysis

Model selection

**Appendix B: Introduction to R **Working with R

Data frames and reading data into R

Manipulating data

Graphics with R

Reproducible research

Installing R

Exercises

**Appendix C: Statistical Tables**

The *x*^{2} distribution

The normal distribution

The *t *distribution

The *F* distribution

**Bibliography**

**Index**

Publish Book:

Modify Date:

Wednesday, January 12, 2011

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