All Categories (1-8 of 8)

1. 

   Daryl Winchester

   https://qubeshub.org/community/members/15966

2. STATS4STEM

   Collections | 10 Oct 2019 | Posted by Megan A. Jones Patterson

   https://qubeshub.org/community/groups/neon2018/collections/data-centric-teaching-resources

3. 

   Rebecca Steinke

   https://qubeshub.org/community/members/9786

4. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

   https://qubeshub.org/publications/833/?v=1

5. Linear Models and Linear Mixed Effects in R: Tutorial 1

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The first of two tutorials that introduce you to linear and linear mixed models.

   https://qubeshub.org/publications/832/?v=1

6. 

   Bruno Marco Ghersi

   https://qubeshub.org/community/members/9443

7. 

   Zeinab Esmaeilpour

   https://qubeshub.org/community/members/8467

8. Numbers Count!: Statistics course

   out of 5 stars 

   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.