New mobile app: Resampling (Bootstrap Confidence Intervals)

The Art & Science of Learning from Data

The Art & Science of Learning from DataThe Art & Science of Learning from DataThe Art & Science of Learning from Data
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The Art & Science of Learning from Data

The Art & Science of Learning from DataThe Art & Science of Learning from DataThe Art & Science of Learning from Data
Home
Web Apps
Mobile Apps
Datasets
R Code
YouTube
Errata
More
  • Home
  • Web Apps
  • Mobile Apps
  • Datasets
  • R Code
  • YouTube
  • Errata
  • Home
  • Web Apps
  • Mobile Apps
  • Datasets
  • R Code
  • YouTube
  • Errata

Introductory Statistics Textbook & Apps

Intro Stats Textbook

Mobile Apps for your Phone

Mobile Apps for your Phone

Statistics: The Art and Science of Learning from Data, 5th edition.  

Authors:  Agresti, Franklin, Klingenberg

An introductory statistics textbook for a one or two-semester course.

Go to Publisher's Website

Mobile Apps for your Phone

Mobile Apps for your Phone

Mobile Apps for your Phone

Mobile apps for exploring and working with distributions and data. All from your phone. Download it now for iOS or Android.

Find out more

Online Web Apps

Mobile Apps for your Phone

Datasets & General Social Survey

Screenshot of web app on artofstat.com website.

Online interactive web-apps for illustrating & learning statistics. Explore statistical concepts or carry out data analysis (descriptive & inferential), right in your browser.

Go to Web Apps

Datasets & General Social Survey

Datasets & General Social Survey

Datasets & General Social Survey

Screenshot of spreadsheet filled with data.

Download datasets mentioned in examples, exercises & activities. Organized by book chapter. Also, find the link to the General Social Survey.

Download Datasets or GSS data

R Code

Datasets & General Social Survey

R Code

Screenshot of R code as printed in textbook.

Access the annotated R code from the end of chapter material. Also, find R code to replicate the analysis done in chapter examples, using base R or the tidyverse.

Go to R Code

Errata

Datasets & General Social Survey

R Code

List of typos in exercises and the main text. We apologize for these! (Let us know if you find others!)

See currently known typos

About Me

Bernhard Klingenberg

Bernhard Klingenberg is a Professor of Statistics, teaching courses ranging from Introductory Statistics for the Social Sciences to Mathematical Statistics, Data Visualization and his favorite subject, Categorical Data Analysis. Categorical Data Analysis is also Bernhard's major research interest. He published articles in journals such as Biometrics (on analyzing multivariate binary data), Statistics in Medicine (on confidence intervals for the risk ratio and others), Computational Statistics & Data Analysis (on binary time series) or the Journal of the Royal Statistical Society, Series B: Applied Statistics (on analyzing adverse events data from drugs). His method to construct a confidence interval for the difference of proportion in stratified 2x2 contingency tables has been implemented in SAS software's proc freq. 

 Copyright © 2022 Bernhard Klingenberg - All Rights Reserved. 

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