Webinar: Tuesday, April 10th, 2018 2:00-3:00 PM EDT
Presented by : Todd Schwartz and Jane Monaco (University of North Carolina)
Title: A study on the current state of the use of online/flipped classroom pedagogy in statistics/biostatistics
Please sign up to register, link to register : [ https://www.causeweb.org/cause/webinar/teaching/2018-04 | https://www.causeweb.org/cause/webinar/teaching/2018-04 ] [ https://www.causeweb.org/cause/webinar/teaching/2017-10 ]
Abstract: Online courses and 'flipped' classrooms are becoming more commonly found in statistics/biostatistics. A gap exists in the literature in regard to a systematic study of instructors' of these types of (bio)statistics courses. We conducted a survey to elicit these instructor's responses in terms of implementation, ratings, recommendations, and opinions, and we report on n=46 such instructors. In this webinar, we describe characteristics of these respondents' courses, as well as summarizing their responses on various aspects. Results are given both overall, as well as for different subgroups of interest. Our findings should be useful to inform statistics educators who might be considering adopting these formats.
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Logistics: The webinar will be conducted using the GoToWebinar software platform. A computer with internet access is all you need. GoToWebinar offers audio participation through your computer microphone.
All registered webinar attendees will receive a confirmation email generated by the GoToWebinar system upon registering. This email includes a link to enter the webinar . Keep this confirmation email as you will use this link to enter the webinar – you will also be sent a reminder with the link two hours before the webinar begins. Once you leave the webinar , you cannot re-enter. If you have not used GoToWebinar before, please review the information below. The webinar will be recorded and the archived version will be available on-line within a few days following the presentation, if you are unable to attend.
For PC-based participants:
* Internet Explorer 7.0 or newer, Mozilla Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
* Windows 8, 7, Vista, XP or 2003 Server.
* Cable modem, DSL, or better Internet connection.
* Dual-core 2.4GHz CPU or faster with 2GB of RAM or more.
* Participants wishing to connect to audio using VoIP will need a fast Internet connection, a microphone and speakers (or USB headset).
For Mac-based participants:
* Safari 3.0 or newer, Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
* Mac OS X 10.6 – Snow Leopard or newer.
* Intel processor with 1GB of RAM or more.
* Cable modem, DSL, or better Internet connection.
* Macs have built-in speakers and a microphone with ambient noise reduction that will work well for VoIP.
Tell your students: Entries for the CAUSE A-mu-sing fun items competition are due April 1 .
Please pass this message along to your students….
Announcing the "2018 CAUSE A-mu-sing Student Competition"! Any high school, undergraduate, or graduate student of statistics is eligible to enter unpublished original examples of statistics jokes/cartoons, songs, poems, or videos for a chance to win cash prizes, publication in the CAUSEWebfun collection, and possible national recognition (e.g., at eCOTS 2018)! Entry deadline is April Fool’s Day ( April 1 ), 2018. See [ http://www.causeweb.org/cause/a-mu-sing/2018/rules | www.causeweb.org/cause/a-mu-sing/2018/rules ]
for complete rules and entry form. Beyond the inherent enjoyment, the task of putting content into the form of an engaging poem, song, video, etc., can encourage sustained engagement with and synthesis of major statistics concepts!
(Instructors, don’t despair – A-mu-sing contests open to both students and instructors will continue to be held in odd-numbered years, and we are now just adding a student-only contest for even-numbered years.)
The CAUSE Cartoon Caption Contest for March is now taking entries
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 22nd 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. (note the cartoons are posted at the beginning of the previous month and submissions are due at the end of the month)
The next cartoon and the entry rules for the contest ending March 31st are at
[ https://www.causeweb.org/cause/caption-contest/march/2018/submissions | https://www.causeweb.org/cause/caption-contest/march/2018/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.
February Results: The February caption contest featured a cartoon showing a lab shared by two researchers. One side of the lab is in complete disarray with broken glassware, spills of various unknown liquids, and broken equipment. The other side of the lab is highly organized and in sparkling condition. The winning caption for the February contest was “Don't Forget to Clean Your Dirty Data!,” written by Jennifer Ann Morrow from University of Tennessee. Jennifer’s caption provides a nice avenue for facilitating discussions of the importance of having a plan to clean dirty/messy data. Honorable mentions this month go to Laila Poisson from the Ford Health System for her caption “As goes the lab, so go the data,” for its emphasis on the importance of gathering data in a way that avoids dirty/messy data; and to Chantal Larose from Eastern Connecticut State University for her caption “Cleanliness is next to reproducibility!,” for making the link from an organized workflow to the important topic of reproducibility of results.
Thanks to everyone who submitted a caption and remember to let your students know about the CAUSE caption contest!
Webinar : Presented by Jeff Witmer
Title: Regression to the Mean/The regression effect
Please sign up to register, link to register: [ https://www.causeweb.org/cause/webinar/teaching/2017-10 | https://www.causeweb.org/cause/webinar/teaching/2017-10 ]
Abstract: Regression to the mean, also known as "the regression effect," is an important but sometimes overlooked topic in introductory statistics. We will discuss the regression effect and how to teach it. We will also consider a number of examples of the "regression fallacy," in which people who are ignorant of the regression effect make up ad hoc (and sometimes very misleading) explanations for what they see in data.
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Logistics: The webinar will be conducted using the GoToWebinar software platform. A computer with internet access is all you need. GoToWebinar offers audio participation through your computer microphone.
All registered webinar attendees will receive a confirmation email generated by the GoToWebinar system upon registering. This email includes a link to enter the webinar . Keep this confirmation email as you will use this link to enter the webinar – you will also be sent a reminder with the link two hours before the webinar begins. Once you leave the webinar , you cannot re-enter. If you have not used GoToWebinar before, please review the information below. The webinar will be recorded and the archived version will be available on-line within a few days following the presentation, if you are unable to attend.
For PC-based participants:
* Internet Explorer 7.0 or newer, Mozilla Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
* Windows 8, 7, Vista, XP or 2003 Server.
* Cable modem, DSL, or better Internet connection.
* Dual-core 2.4GHz CPU or faster with 2GB of RAM or more.
* Participants wishing to connect to audio using VoIP will need a fast Internet connection, a microphone and speakers (or USB headset).
For Mac-based participants:
* Safari 3.0 or newer, Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
* Mac OS X 10.6 – Snow Leopard or newer.
* Intel processor with 1GB of RAM or more.
* Cable modem, DSL, or better Internet connection.
* Macs have built-in speakers and a microphone with ambient noise reduction that will work well for VoIP.
Dear Colleagues,
After a successful inaugural Statsketball competition last year where HS and undergrad students could apply their statistical skills to two contests associated with the NCAA men's basketball tournament, we are again sponsoring the contests through This is Statistics.
The information pasted below is from [ http://thisisstatistics.org/home-2/statsketball/ | http://thisisstatistics.org/home-2/statsketball/ ] . Please help spread the word! 6 rounds.
68 teams.
Thousands of possibilities.
One winner.
Statsketball Tournament 2018
Don't leave your NCAA College Basketball Tournament bracket predictions to chance-put your statistics skills to the test!
We already know statistics has the power to best predict a winner, and analytics careers in sports are booming. Whether you enter for fun or to jumpstart your future career as a statistician, you won't want to miss it.
This is Statistics and the [ http://www.amstat.org/ | American Statistical Association ] are challenging high school and undergraduate students to predict the outcome of the 2018 NCAA Basketball Tournament using statistics rather than luck. Get Started
Statsketball consists of two challenges, open to high school and undergraduate students:
[ http://thisisstatistics.org/home-2/statsketball/statsketball-guidelines/ | "Pick 'Em": Upset Challenge ] - Submit a list of 32 winners to the first-round games.
[ http://thisisstatistics.org/home-2/statsketball/statsketball-guidelines/ | "Build Your Own Bracket": Draft Challenge ] - You have 224 drafts points to assemble your cohort of teams from the seeded participants.
Get the full details, rules and prizes for the challenges [ http://thisisstatistics.org/home-2/statsketball/statsketball-guidelines/ | here ] . All submissions are due by March 14 , 2018, at 12:00PM ET.
[ http://eepurl.com/bTHyEP | Join our email list ] to be the first to know about news and announcements.
Thanks,
Rebecca
Rebecca Nichols
Director of Education
American Statistical Association
Promoting the Practice and Profession of Statistics ®
732 North Washington Street
Alexandria, VA 22314-1943
[ callto:%28703%29%20684-1221 | (703) 684-1221 ] , Ext. 1877
Fax: [ callto:%28703%29%20684-3768 | (703) 684-3768 ]
[ https://ucs.psu.edu/zimbra/blocked::http://www.amstat.org/ | www.amstat.org ]