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Jane Watson; Noleine Fitzallen – Teaching Statistics: An International Journal for Teachers, 2025
The practice of statistics has the power to motivate and support learning across the STEM (Science, Technology, Engineering, and Mathematics) disciplines. When connected with meaningful science contexts, statistical problem solving through the collection of data and subsequent data analysis, supported by contemporary graphing technology, presents…
Descriptors: Elementary School Students, Grade 5, Statistics, 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
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
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
Humenberger, Hans – Teaching Statistics: An International Journal for Teachers, 2020
In this paper, we investigate an interesting question that came up when reading a problem in a school textbook: What happens to the variance of a dataset in the case of changing one single data point, and why? Some of the answers are not surprising but here we find the full answer and demonstrate the understanding of it suitable for school…
Descriptors: Problem Solving, Statistics, Data, Data Analysis
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
Warstat, Selina; Proemmel, Andreas – Teaching Statistics: An International Journal for Teachers, 2020
Scientific statistical working in a team is a special challenge for students in high schools, especially with a civic statistical problem. Ideally, they are following the PPDAC cycle: they formulate a problem together, plan an investigation, collect the data, use software to analyze the data, and formulate results in a seminar paper. This article…
Descriptors: High School Students, Civics, Statistics, Problem Solving
Hadfield, KimberLeigh Felix – Teaching Statistics: An International Journal for Teachers, 2021
Undergraduate students tend to struggle with probability in their introductory statistics course. Probability problem solving requires several steps. First, students must make sense of the probability scenario, then determine the appropriate probability rules, and finally, execute the procedures to solve the problem. With no previous exposure to…
Descriptors: Undergraduate Students, Probability, Statistics, Introductory Courses
Hourigan, Mairéad; Leavy, Aisling M. – Teaching Statistics: An International Journal for Teachers, 2020
This paper presents insights from classroom practice where mathematical thinking, and in particular statistical literacy, are central to solving a STEM problem. We demonstrate that when an investigation sparks student interest and requires active participation, there are opportunities to experience the functionality of statistics.
Descriptors: STEM Education, Teaching Methods, Mathematical Logic, Statistics
Martins, Rui Manuel da Costa – Teaching Statistics: An International Journal for Teachers, 2018
Using the famous Birthday problem, we present here a practical activity that allows students to perceive the basic reasoning behind simulation and explore its potential. Through a playful approach with probabilities, students are led along a path that illustrates difficulties with intuition and introduces them to theoretical results for sample…
Descriptors: Learning Activities, Probability, Intuition, Statistics
Callingham, Rosemary; Watson, Jane; Oates, Greg – Australian Journal of Education, 2021
Mathematics curricula have traditionally focused on content knowledge, often in the form of a scope and sequence of increasingly difficult mathematics. The importance of using and applying mathematics is recognised in the current Australian Curriculum Mathematics (AC: M) as 'proficiencies' that are intended to be integrated with the content. There…
Descriptors: Mathematics Instruction, Teaching Methods, National Curriculum, Statistics
McCarthy, Chris; Lan, Jie; Li, Jieying – PRIMUS, 2019
We present noncompetitive adsorption as "particles in a box with one sticky wall." We start with a general model that can be modeled as a simple ordinary differential equation (ODE). To verify the ODE students run a computer simulation. The ODE's solution imperfectly fits the simulation's data. This leads to the diffusion partial…
Descriptors: Equations (Mathematics), Mathematical Models, Problem Solving, Computer Simulation
Yates, Philip A. – Journal of Statistics Education, 2019
When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…
Descriptors: Factor Analysis, Mathematics Education, Regression (Statistics), Classification
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

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