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Gordon, Sheldon P.; Gordon, Florence S. – PRIMUS, 2023
This article makes a case for introducing moving averages into introductory statistics courses and contemporary modeling/data-based courses in college algebra and precalculus. The authors examine a variety of aspects of moving averages and draw parallels between them and similar topics in calculus, differential equations, and linear algebra. The…
Descriptors: College Mathematics, Introductory Courses, Statistics Education, Algebra
Reinhart, Alex; Evans, Ciaran; Luby, Amanda; Orellana, Josue; Meyer, Mikaela; Wieczorek, Jerzy; Elliott, Peter; Burckhardt, Philipp; Nugent, Rebecca – Journal of Statistics and Data Science Education, 2022
Think-aloud interviews have been a valuable but underused tool in statistics education research. Think-alouds, in which students narrate their reasoning in real time while solving problems, differ in important ways from other types of cognitive interviews and related education research methods. Beyond the uses already found in the statistics…
Descriptors: Protocol Analysis, Statistics Education, Mathematical Logic, Thinking Skills
Burke, Jon; Goukasian, Levon; Shearer, Robert – Journal of Statistics Education, 2020
Students often struggle with the concept of dependence of events or random variables. We present a simple coin flipping game that yields surprising results due to the dependencies within the game. The game is simple enough for young children to understand and play, yet complex enough to yield results that are counterintuitive to even most graduate…
Descriptors: Statistics Education, Teaching Methods, Games, Problem Solving
Ava Greenwood; Sara Davies; Timothy J. McIntyre – Australian Mathematics Education Journal, 2023
This article is motivated by the importance of developing statistically literate students. The authors present a selection of problems that could be used to motivate student interest in probability as well as providing additional depth to the curriculum when used alongside traditional resources. The solutions presented utilise natural frequencies…
Descriptors: Probability, Mathematics Instruction, Teaching Methods, Statistics Education
Sarkar, Jyotirmoy; Rashid, Mamunur – Educational Research Quarterly, 2021
The Pearson correlation coefficient can be recovered from the two least squares regression lines y[with circumflex] = b[subscript 0] + b[subscript 1]x and x[with circumflex] = a[subscript 0] + a[subscript 1]y without any data. This can be done both algebraically and geometrically. This can be done without data even when the scales of the variables…
Descriptors: Correlation, Regression (Statistics), Least Squares Statistics, Information Utilization
Bargagliotti, Anna; Arnold, Pip; Franklin, Chris – Mathematics Teacher: Learning and Teaching PK-12, 2021
In this article, the authors introduce the "Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II): A Framework for Statistics and Data Science Education" report. This report, which was published by the American Statistical Association (ASA) and endorsed by the National Council of Teachers of Mathematics…
Descriptors: Preschool Education, Kindergarten, Elementary Secondary Education, Guidelines
Ozturk, Ayse – Mathematics Teacher: Learning and Teaching PK-12, 2023
The National Council of Teachers of Mathematics (NCTM, 2014) highlights that effective teaching practices promote students' reasoning and sense making through various problem-solving strategies. Rather than telling students what to do and how to solve problems, teachers are expected to engage learners in accessible real-life problem situations…
Descriptors: Ethics, Mathematics Instruction, Teaching Methods, Problem Solving
Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
Linda Payne; Andrew Tawfik; Andrew M. Olney – International Journal of Designs for Learning, 2021
This design case details a data science summer learning experience designed by University of Memphis faculty for HBCU students (NSF #: 1918751) with recruiting assistance provided by LeMoyne-Owen College. The summer learning experience included elements of didactic and collaborative problem-solving during the first five weeks of the internship,…
Descriptors: Summer Programs, Internship Programs, Problem Solving, Cooperative Learning