There will not be a StatPREP webinar in June; however there is an opportunity for learning more about data centric statistics. This opportunity is
The American Statistical Association is conducting a free workshop titled “Teaching Introductory Statistics in the 2020s: A Virtual Workshop for Two-Year College Educators” on Monday June 29 and Tuesday June 30 from 12-4pm Eastern time.
This workshop will focus on ideas and activities for teaching introductory statistics in accordance with the American Statistical Association’s GAISE recommendations and “A World Beyond P < 0.05” initiative. Highlighted themes will include multivariable thinking, data fluency, misconceptions and limitations of p-values, and alternatives to p-values such as effect sizes. Presenters are Roxy Peck, Rob Gould, Danny Kaplan, Beth Chance, Jeff Witmer, and Kari Lock Morgan.
This virtual workshop is free, but advance registration is required. More information and a registration form are available at:
Please feel free to share this information with your colleagues who teach statistics.
Questions can be directed to Allan Rossman (email@example.com) or Rebecca Nichols (firstname.lastname@example.org).
Want to learn more about the motivation for StatPREP, watch the video found under the StatPREP Video tab in the top menu. A shorter version of this video was submitted for the 2020 NSF STEM for All Video Showcase that occurred May 5th through May 12th, 2020.
What Every Instructor Should Know About the Bootstrap
Date: Monday, May 18
Time: 3:30 p.m. EDT, 2:30 p.m CDT, 1:30 p.m. MDT, 12:30 p.m. PDT
Host: Tim Hesterberg & Kate Kozak
Statistical concepts such as sampling distributions, standard errors, and P-values are difficult for many students. A good way to get hands-on experience with these abstract concepts is using bootstrapping and permutation tests, and we’ll demonstrate using a variety of examples. Though bootstrapping has enormous potential in statistics education and practice, there are subtle issues and ways to go wrong. For example, the common combination of nonparametric bootstrapping and bootstrap percentile confidence intervals is less accurate than using t-intervals for small samples, though more accurate for larger samples. The goals of this talk are to provide a deeper understanding of bootstrap methods – how they work, when they work or not, which methods work better– and to highlight pedagogical issues.
Registration link: https://maa.zoom.us/webinar/register/WN_-5dV5CW9SYeVkKPAfI4KNw
Date: Thursday, April 23
Time: 1 p.m. EDT, 12 p.m. CDT, 11 a.m. MDT, 10 a.m. PDT
Hosts: Jennifer Ward & Danny Kaplan
The third anniversary of the StatPREP Little Apps is approaching. To celebrate, we’re launching a brand new set of apps with a new look and new functionality. Among the changes are a dramatically increased choice of data sets (including those keyed to textbooks often used by StatPREP instructors) and the ability to upload your own CSV files, a feature that lets you freeze a display and show it side-by-side with the current display. The original apps will continue to be available at their current web addresses, but we encourage you to switch to the new ones and try out their new capabilities.
Registration link: https://maa.zoom.us/webinar/register/WN_i5fGJe00TLi8SQkRKlY4KA
Web site for the new Little Apps: https://statprep.github.io/LittleAppSite/
The March webinar is presented by Kari Lock Morgan. She will discuss resampling methods. It is on March 26, at 10 am PDT, 11 am MDT, 12 pm (noon) CDT, 1pm EDT. Check back for the description and sign up link.