Please join us for the next CAUSE webinar Tuesday, May 27th at 4:00PM ET.
Title: What makes a good statistical question?
Presenters: Pip Arnold (New Zealand) & Chris Franklin (ASA K-12 Statistics Ambassador/ASA Fellow/UGA Emerita)
Date and Time: Tuesday, May 27, 2021
Abstract: In the April CAUSE/Journal of Statistics and Data Science Education webinar series, we discuss "What Makes a Good Statistical Question?" with Pip Arnold & Christine Franklin, the co-authors of a forthcoming paper in JSDSE (https://www.tandfonline.com/doi/full/10.1080/26939169.2021.1877582). The statistical problem-solving process is key to the statistics curriculum at the school level, post-secondary, and in statistical practice. The process has four main components: Formulate questions, collect data, analyze data, and interpret results. The Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education (GAISE) emphasizes the importance of distinguishing between a question that anticipates a deterministic answer and a question that anticipates an answer based on data that will vary, referred to as a statistical question. This paper expands upon the Pre-K-12 GAISE distinction of a statistical question by addressing and identifying the different types of statistical questions used across the four components of the statistical problem-solving process and the importance of interrogating these different statistical question types. Since the publication of the original Pre-K-12 GAISE document, research has helped to clarify the purposes of questioning at each component of the process, to clarify the language of questioning, and to develop criteria for answering the question, "What makes a good statistical question?" Pip Arnold is a statistics educator who also sometimes masquerades as a mathematics educator. Her continuing interests include statistical questions, working to support with K-10 teachers in developing their statistical content knowledge and looking at ways to authentically integrate statistics across the curriculum. Pip has been developing a teacher's resource to support the teaching of statistics from K-10 for New Zealand teachers, based on the PPDAC statistical enquiry cycle that is the basis of statistical problem-solving in New Zealand. Christine (Chris) Franklin is the ASA K-12 Statistics Ambassador, an ASA Fellow, and UGA Emerita Statistics faculty. She is the co-author of two introductory statistics textbooks, chair for the ASA policy documents Pre-K-12 GAISE (2005) and Statistical Education of Teachers (2015), and co-chair for the recently published Pre-K-12 GAISE II. She is a former AP Statistics Chief Reader and a past Fulbright scholar to NZ, where she and Pip began having many conversations about the role of questioning in the statistical problem-solving process.
Registration link: https://psu.zoom.us/webinar/register/WN_0gjOKtGuQ3iws_BCI6egtA<https://psu.zoom.us/webinar/register/WN_sVBPlOp9QXWLi7SxwcBIMw>
Welcome! You are invited to join a webinar: What makes a good statistical question?. After registering, you will receive a confirmation email about joining the webinar.<https://psu.zoom.us/webinar/register/WN_0gjOKtGuQ3iws_BCI6egtA>
Nominations Open for the Robert V. Hogg Award for Excellence in Teaching Introductory Statistics
The Hogg Award provides recognition to an individual who has shown both excellence and growth in teaching introductory statistics at the college level. This award is presented annually in January. Nomination packets should be submitted to Judith Canner, Chair of the Award Committee, at jcanner(a)csumb.edu<mailto:email@example.com>.
The winner of the Hogg Award will have been teaching introductory statistics at the college level for 3 to 15 years and hold active membership with the MAA. Nominations of faculty coming from a mathematics background are especially encouraged, although all eligible candidates are encouraged to apply. Guidelines for nominations and nomination forms can be found at sigmaa.maa.org/stat-ed/<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Fsigmaa.maa…>. The deadline for submitting nomination packets is September 30, 2021; nominations are held in consideration for 3 years, but updated nomination packets are encouraged. Please note nominees must be MAA members at time of nomination.
Dr. Judith E Canner
Professor of Statistics
Statistics Program Coordinator
Department of Mathematics and Statistics
California State University, Monterey Bay
100 Campus Center
Seaside, CA 93955
The Consortium for the Advancement of Undergraduate Statistics Education is happy to announce our 61st Cartoon Caption Contest – now ongoing every month for over five years! 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 caption contest is offered as a fun way to get your students thinking independently about statistical concepts.
The next cartoon and the entry rules for the contest ending June 30 are at
The caption contest is a little different this month. In the picture there is a small sign within the cartoon. Thus, this month’s challenge is to provide what should be written on the sign and to provide a caption for the full cartoon.
The best submission will be posted on CAUSEweb and the winner(s) will receive their choice of a coffee mug or t-shirt imprinted with the final cartoon.
May Results: The May caption contest featured a cartoon showing a weary man crawling in the dessert. You can see that his path was originally headed toward an oasis with water, but he has changed course and is heading toward a site with some old graphs and other statistical artifacts half buried in the sand. The winning caption for the May contest was “The search for a truly normal distribution ends, yet again, in a mirage,” written by Dashiell Young-Saver from the Knowledge Is Power Program Public Schools. Dashiell’s caption can be used to discuss the appropriateness of the normal errors assumption in a variety of settings. An honorable mention this month goes to Francois Bereaud from San Diego Miramar College for the caption: “In a desert of misinformation, statistics provides an oasis of clarity,” which might be used to discuss the overall value of statistics for important applications.
Thanks to everyone who submitted a caption and congratulations to our winners!