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Samantha Dawn Warren
50 years of Data Science
out of 5 stars
23 Feb 2016 | | Contributor(s):: David Donoho
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...
RExRepos: R Examples Repository
28 Jan 2016 |
Posted by Drew LaMar
Modernizing Statistics Education via Biology Applications
21 Oct 2015 | | Contributor(s):: Olcay Akman
This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...
HHMI Teacher Guide: Math and Statistics
23 Sep 2015 | | Contributor(s):: Paul Strode, Ann Brokaw
This resource has been updated - find the current version here: https://qubeshub.org/publications/342Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...
22 Sep 2015 |
Posted by Kristin Jenkins
FlowingData (http://flowingdata.com/) is described by the blogger Nathan Yau as follows:
FlowingData explores how statisticians, designers, data scientists, and others use analysis,...
08 Sep 2015 |
Posted by Drew LaMar
04 Sep 2015 | | Contributor(s):: Drew LaMar
R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.
Introductory statistics in R - what packages are most valuable?
10 Aug 2015 |
Posted by Jeremy M Wojdak
There was an excellent blog post by Citizen-Statistician about teaching undergraduate statistics, and which R packages are among the top 10 or so most useful. Balancing the steep...
19 May 2015 | | Contributor(s):: Drew LaMar
Interactive statistics package using R and Shiny.
Statistical Power for One-Sample t-Test
18 May 2015 | | Contributor(s):: Drew LaMar
Interactive visualization of statistical power for a one-sample t-test.
A very basic tutorial for performing linear mixed effects analyses: Tutorial 2
24 Apr 2015 | | Contributor(s):: Bodo Winter
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...
Linear models and linear mixed effects models in R: Tutorial 1
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...
Numbers Count!: Statistics course
28 Mar 2015 | | Contributor(s):: Claudia Neuhauser
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application.
Java Applets for Power and Sample Size
10 Mar 2015 | | Contributor(s):: Russell Lenth
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/899From the website:This software is intended to be useful in planning statistical studies. It is not intended to be used for analysis of data that have already been...
Workshop Statistics: Discovery with Data, A Bayesian Approach
25 Feb 2015 | | Contributor(s):: Jim Albert, Allan Rossman
From the project website " Workshop Statistics: Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...