Reminder: CAUSE Cartoon Caption Contest #8 (submissions due January 1 )
This is a reminder that submissions for the eighth Cartoon Caption Contest are due January 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 January 1 are at https://www.causeweb.org/cause/caption-contest/december/2016/submissions (the cartoon for February is posted the following day on January 2 ).
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.
CAUSE and the American Statistical Association are happy to announce the 8th annual undergraduate statistics project competition (USPROC). New this year we will have two project submission deadlines:
* December 23, 2016 for fall/summer 2016 projects
* June 30, 2017 for year long and spring 2017 projects
Project submission for the December 23, 2016 deadline is now open! Cash prizes and an invitation to give a plenary talk at the annual electronic undergraduate statistics conference for all winners. Learn more here: www.causeweb.org/usproc
Think about your students this semester in all levels of statistics courses, as well as summer and independent research students. Competition tracks for all student levels are available. The purpose of USPROC is to encourage the development of data analysis skills, to enhance presentation skills, and to recognize outstanding work by undergraduate statistics students. There are two main categories for submissions to the competition:
* Undergraduate Statistics Class Project Competition (USCLAP): This competition is for undergraduate students who are taking an applied statistics course(s) at introductory, or intermediate levels, in which a class project is part of the course work (either required or optional).
* Undergraduate Statistics Research Project Competition (USRESP): This competition is for undergraduate students who conduct research projects that are statistically related, either methodological or applied. The types of research projects may include research work from REU research projects, senior capstone research projects, or independent research projects that are not based on a specific course which students are taking.
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Vittorio Addona
Associate Professor
Mathematics, Statistics, and Computer Science
Macalester College
651-696-6506
addona(a)macalester.edu
The CAUSE Cartoon Caption Contest for January is now taking entries
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our eighth 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 post on the 2nd day of each month)
The next cartoon and the entry rules for the contest ending January 1 are at
https://www.causeweb.org/cause/caption-contest/january/2017/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.
December Results: We had 56 submissions for the December caption contest that featured a cartoon showing five students taking a test with 4 appearing very anxious and one appearing very calm. We had two co-winners for the December competition. The first was Robert Garrett, a student at Miami University. Robert’s caption “Mark was pleased to note that he was a significant outlier. Little did he know it was a two-sided test…,” was selected for its ability to foster a classroom discussion about statistical hypothesis testing and the effect of outliers. Our second winner was by Larry Lesser from The University of Texas at El Paso (Larry’s second win in our caption contest). His caption “The sadistic ANOVA problem made most students feel headed for an F test,” was chosen for its ability to stimulate a discussion of the F test in ANOVA and about general student anxiety about statistics.
Thanks to everyone who submitted a caption and congratulations to our Winners!
Silas Bergen's webinar 02:00pm - 03:00pm Eastern Standard Time, Monday, December 12th, 2016
Link to register: https://www.causeweb.org/cause/webinar/teaching/2016-12
Title: A data visualization course for undergraduate data science students
Abstract: Our university recently began offering a bachelor’s degree in data science. One of the required courses for this major is a course on data summary and visualization. Fall Semester 2016 was the second time this course was offered at our university. In this talk, I will describe the content, structure, and pace of this course and provide examples of student output.
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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.