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Think Bayes: Bayesian Statistics Made Simple
Conditional Remix & Share Permitted
CC BY-NC
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The book is appropriately comprehensive, covering the basics as well as interesting and important applications of Bayesian methods.

Subject:
Applied Science
Computer Science
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Green Tea Press
Author:
Allen Downey
Date Added:
01/01/2012
Think Stats: Probability and Statistics for Programmers
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CC BY-NC
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Think Stats is an introduction to Probability and Statistics for Python programmers.

*Think Stats emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets.
*If you have basic skills in Python, you can use them to learn concepts in probability and statistics. Think Stats is based on a Python library for probability distributions (PMFs and CDFs). Many of the exercises use short programs to run experiments and help readers develop understanding.

Subject:
Applied Science
Computer Science
Mathematics
Statistics and Probability
Material Type:
Textbook
Provider:
Green Tea Press
Author:
Allen Downey
Date Added:
01/01/2014
Using Your Hair to Understand Descriptive Statistics
Conditional Remix & Share Permitted
CC BY-NC-SA
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The purpose of this activity is to enhance students' understanding of various descriptive measures. In particular, by completing this hands-on activity students will experience a visual interpretation of a mean, median, outlier, and the concept of distance-to-mean.

Subject:
Mathematics
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Science Education Resource Center (SERC) at Carleton College
Provider Set:
Starting Point (SERC)
Author:
Christopher Malone
Tisha Hooks
Date Added:
02/28/2018