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Tags: statistics

All Categories (81-100 of 114)

  1. les steven nagy

    https://qubeshub.org/community/members/4544

  2. Andrea Miller

    https://qubeshub.org/community/members/4053

  3. Shelby Scott

    I am currently a graduate student with 6 years of experience in Biomathematics research. My undergraduate work focused on the population dynamics of endangered species and the development of...

    https://qubeshub.org/community/members/3957

  4. Amy Salter

    Educational Psychology; Statistics; Mentoring in STEMTeaching experience: Statistics; Psychology courses - Atlanta area collegesTwitter: @dramysalterNational conferences: APA; Regional Conference:...

    https://qubeshub.org/community/members/3402

  5. Samantha Dawn Warren

    https://qubeshub.org/community/members/3287

  6. 50 years of Data Science

    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...

  7. RExRepos: R Examples Repository

    Collections | 28 Jan 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introbiostats/collections/resources-for-r

  8. 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...

  9. 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...

  10. Flowing Data

    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,...

    https://qubeshub.org/community/groups/scienceandmathbookclub/blog/2015/09/flowing-data

  11. RExRepos: R Examples Repository

    Collections | 08 Sep 2015 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introquantbio/collections/learning-and-using-r

  12. R Commander

    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.

  13. 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...

    https://qubeshub.org/news/blog/2015/08/introductory-statistics-in-r---what-packages-are-most-valuable

  14. BioRadiant

    19 May 2015 | | Contributor(s):: Drew LaMar

    Interactive statistics package using R and Shiny.

  15. 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.

  16. 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...

  17. Linear models and linear mixed effects models in R: Tutorial 1

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    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...

  18. 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. 

  19. 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...

  20. 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...