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.
eCOTS proposals are now being accepted (deadline March 1 )
The 2018 Electronic Conference on Teaching Statistics (eCOTS) May 21 -25, 1918 is shaping up to be an exciting online event with keynote presentations from Jeff Leek (Johns Hopkins)and Dick DeVeaux (Williams College) as well as a record number of face-to-face regional conferences! Registration is live and the deadline for proposals for breakout sessions, virtual posters, and birds-of-a-feather discussions is this week. This year's eCOTS focuses on statistics education at all levels and types of learning institutions: secondary school, two-year/community colleges, and four-year liberal arts and research universities.
The conference theme is "Data Science for All." Recently, we have seen a rise in data scientist (or related) positions in industry as well as a boom in data science graduate and undergraduate programs. How should statistics educators and students respond? What curriculum should we teach? How should we teach it? Have the goals of statistics education changed? If so, how?
This conference is for anyone who teaches or studies statistics or data science, regardless of experience with either. Sessions will range from ideas for incorporating data science and statistics concepts into all curricular levels to providing interactive data and learning opportunities for all students and teachers to building certificates and programs that include data science. Panel discussions will include describing data science and its potential role in statistics education, a look at the state-of-the-art in online statistics education tools, and the future of statistics education, including funding opportunities. The conference website will also include a list of related available statistics and data science resources for attendees as well as the general public.
Session proposals related to the conference theme will be given priority. Virtual posters related to a broader coverage of statistics education topics will be given equal priority. Note that only abstracts are required at this point - not the video presentations themselves. All proposals are due by March 1 , 2018 (email dkp13(a)psu.edu or rnugent(a)stat.cmu.edu if you need an extra day or two). For more details about eCOTS 2018 and to submit a proposal, please visit
[ http://www.causeweb.org/cause/ecots/ecots18/proposals/submit | www.causeweb.org/cause/ecots/ecots18/proposals/submit ]
If you have any questions about the conference program, please contact program chair Rebecca Nugent at rnugent(a)stat.cmu.edu. Thanks!
Registration for eCOTS is now open!
CAUSE is thrilled to be hosting the 2018 electronic Conference On Teaching Statistics (eCOTS) from May 21 -25 offering more than 40 hours of virtual programming. This year's online conference focuses on statistics education at both high school and college levels and at all types of learning institutions. The conference theme is "Data Science for All."
This virtual conference is for anyone who teaches or studies statistics or data science. The program will be exciting with keynote presentations from Jeff Leek (Johns Hopkins) and Dick DeVeaux (Williams College), four workshops from NSF supported statistics education projects, a host of inclusive panels and presentations on our theme, and virtual posters on many innovative statistics education topics. There are also ten face-to-face regional conferences associated with eCOTS – perhaps there is one near you!
The registration is only $25 for the entire week of events ($15 for faculty at CAUSE Institutional Partners) and includes all sessions, workshops, and regional conferences. Registration is now open at [ http://www.causeweb.org/cause/ecots/ecots18 | www.causeweb.org/cause/ecots/ecots18 ]
Also, don’t forget to submit your proposals for sessions, posters, and discussions by the March 1 deadline.
Reminder: eCOTS proposals are now being accepted (deadline March 1 )
The 2018 Electronic Conference on Teaching Statistics (eCOTS) May 21 -25, 1918 is shaping up to be an exciting online event with keynote presentations from Jeff Leek (Johns Hopkins)and Dick DeVeaux (Williams College) as well as a record number of face-to-face regional conferences! The deadline for proposals for breakout sessions, virtual posters, and birds-of-a-feather discussions is now just two weeks away. This year's eCOTS focuses on statistics education at all levels and types of learning institutions: secondary school, two-year/community colleges, and four-year liberal arts and research universities.
The conference theme is "Data Science for All." Recently, we have seen a rise in data scientist (or related) positions in industry as well as a boom in data science graduate and undergraduate programs. How should statistics educators and students respond? What curriculum should we teach? How should we teach it? Have the goals of statistics education changed? If so, how?
This conference is for anyone who teaches or studies statistics or data science, regardless of experience with either. Sessions will range from ideas for incorporating data science and statistics concepts into all curricular levels to providing interactive data and learning opportunities for all students and teachers to building certificates and programs that include data science. Panel discussions will include describing data science and its potential role in statistics education, a look at the state-of-the-art in online statistics education tools, and the future of statistics education, including funding opportunities. The conference website will also include a list of related available statistics and data science resources for attendees as well as the general public.
Session proposals related to the conference theme will be given priority. Virtual posters related to a broader coverage of statistics education topics will be given equal priority. All proposals are due by March 1 , 2018. For more details about eCOTS 2018 and to submit a proposal, please visit
[ http://www.causeweb.org/cause/ecots/ecots18/proposals/submit | www.causeweb.org/cause/ecots/ecots18/proposals/submit ]
If you have any questions, please contact program chair Rebecca Nugent at rnugent(a)stat.cmu.edu. Thanks!
The CAUSE Cartoon Caption Contest for February is now taking entries
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 21st Cartoon Caption Contest. Each month a cartoon, drawn by British cartoonist John Landers, is posted for you and your students to suggest statistical captions (cartoons are posted at the beginning of the month and submissions are due at the end of the month).
The next cartoon and the entry rules for the contest ending February 28 are at
[ https://www.causeweb.org/cause/caption-contest/february/2018/submissions | https://www.causeweb.org/cause/caption-contest/february/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.
January Results: We had 13 submissions for the January caption contest that featured a cartoon showing the fruit section of a grocery store where there was an ample supply of some fruits (like cherries and oranges) that are also out of reach of the customers while the store was running out of other fruits (like apples and grapefruit) that were in easy reach. The winning caption for the January contest was “Convenience samples just take low-hanging fruit!” written by Larry Lesser from University of Texas at El Paso. Larry’s caption can be a vehicle to discuss the nature of convenience samples and how they are likely to differ from probability-based samples. A caption that received an honorable mention was “Evidence that oranges and cherries are unpopular? Or that shelf-height impacts sales?” written by Joe Nolan from Northern Kentucky University.
Thanks to everyone who submitted a caption and congratulations to our winners!