All,
This is a reminder that submissions for the fifth Cartoon Caption Contest are due October 1. Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions. Generating a caption that's well aligned with a statistics learning objective might make a great extra credit assignment for your class.
The cartoon and the entry rules for the contest ending October 1 are athttps://www.causeweb.org/cause/caption-contest/october/2016/submissions
The best captions will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the cartoon or free registration to eCOTS 2018.
The CAUSE Cartoon Caption Contest for October is now taking entries
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our fifth Cartoon Caption Contest. Each month a cartoon, drawn by British cartoonist John Landers, will be posted for you and your students to suggest statistical captions.
The next cartoon and the entry rules for the contest ending October 1 are at
https://www.causeweb.org/cause/caption-contest/october/2016/submissions
The best captions will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the cartoon or free registration to eCOTS 2018.
Enjoy.
September Results: We had 56 submissions for the September caption contest that featured a cartoon showing a crash scene on a rural road with an upcoming curve that looked bell-shaped. The September caption contest had two co-winners. Eugenie Jackson, a student at University of Wyoming, won with his entry “Even a crash course in model-fitting will need to consider distributions other than normal.” Eugenie’s caption was selected for its clever play on words and being well suited for starting a conversation about the normality assumption in statistical models. Our second winner was Amy Nowacki from Cleveland Clinic/Case Western Reserve University whose entry “The dangers of driving more than 3 standard deviations below the speed limit,” would be useful in a classroom discussion of z-scores. Other honorable mentions that rose to the top of the judging included “Big pile-up at percentile marker -1.96 on the bell-curve. You might want to take the chi-square curve to avoid these negative values,” written by Mickey Dunlap from University of Tennessee at Martin; “Call the nonparametric team! This is not normal!” written by Semra Kilic-Bahi of Colby-Sawyer College; “I assumed the driving conditions today would be normal!” written by John Vogt of Newman University; and “CAUTION: Z- values seem smaller than they appear. Slow down & watch for stopped traffic reading these values,” written by Kevin Schirra, a student at University of Akron.
Thanks to everyone who submitted a caption and congratulations to all of our Winners!
I wanted to let my CAUSEweb colleagues know about the upcoming Fall offering of my Teaching Statistics through Data Investigations MOOC for Educators. Many college level faculty and TAs teaching intro level statistics content have found the course beneficial to inspire new teaching strategies, tools, and frameworks---all aligned with the GAISE K-12 and College frameworks!
It’s a completely free professional learning opportunity designed primarily for educators who teach statistics in middle school through early college, but is relevant for those who teach disciplines that use data-based explorations extensively to make claims and inferences (e.g., Social sciences, science). This course allows participants to learn, along with colleagues from around the world, to use an investigation cycle to teach statistics and to help students explore data to make evidence-based claims.
The 5-unit course will be open Sept 26th- December 19th for flexibility in engagement!
Participants can earn certificate of completions and have an opportunity to also pursue micro-credentials and badges to assess and "certify" their understandings of key tools for teaching statistics. Please share with colleagues and teachers in local middle and high schools!
See http://friday.institute/tsdi:cause_hl and feel free to ask me questions about the course!! ( hollylynne(a)ncsu.edu )
See the CAUSE webinar recording here to learn more about the design and implementation of the course.
Many Smiles
Hollylynne
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Hollylynne S. Lee
Professor, Mathematics and Statistics Education
University Faculty Scholar
Department of Science, Technology, Engineering, and Mathematics Education
Faculty Fellow, Friday Institute for Educational Innovation
NC State University
Campus Box 7801
502C Poe Hall
Raleigh, NC 27695
(919)-513-3544 (office)
(919)-515-6892 (FAX)
Hollylynne(a)ncsu.edu
https://ced.ncsu.edu/people/hstohlhttp://ptmt.fi.ncsu.eduhttp://friday.institute/tsdi
