Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 6 |
Descriptor
| Mathematics Education | 9 |
| Sampling | 9 |
| Statistical Inference | 9 |
| Mathematical Concepts | 4 |
| Statistics | 4 |
| Mathematics Instruction | 3 |
| Probability | 3 |
| Sample Size | 3 |
| Teaching Methods | 3 |
| Data | 2 |
| Foreign Countries | 2 |
| More ▼ | |
Source
Author
| Noll, Jennifer | 2 |
| Arthur Bakker | 1 |
| Dolor, Jason | 1 |
| Fielding, Jill | 1 |
| Garofalo, Joe | 1 |
| Geiger, Vince | 1 |
| Hipkins, Rosemary | 1 |
| Juersivich, Nicole | 1 |
| Makar, Katie | 1 |
| Marianne van Dijke-Droogers | 1 |
| Miller, L. Diane | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 8 |
| Reports - Research | 4 |
| Guides - Classroom - Teacher | 2 |
| Reports - Descriptive | 2 |
| Guides - Classroom - Learner | 1 |
| Reports - Evaluative | 1 |
Education Level
| Higher Education | 3 |
| Postsecondary Education | 2 |
| Secondary Education | 2 |
| Elementary Education | 1 |
| Grade 9 | 1 |
| High Schools | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
Audience
| Practitioners | 1 |
Location
| Netherlands | 1 |
| New Zealand | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Marianne van Dijke-Droogers; Paul Drijvers; Arthur Bakker – Mathematics Education Research Journal, 2025
In our data-driven society, it is essential for students to become statistically literate. A core domain within Statistical Literacy is Statistical Inference, the ability to draw inferences from sample data. Acquiring and applying inferences is difficult for students and, therefore, usually not included in the pre-10th-grade curriculum. However,…
Descriptors: Statistical Inference, Learning Trajectories, Grade 9, High School Students
Fielding, Jill; Makar, Katie – Instructional Science: An International Journal of the Learning Sciences, 2022
Conceptual challenge is often considered a necessary ingredient for promoting deep learning in an inquiry-based environment. However, challenge alone does not support conceptual development. In this paper, we draw on complexity theory as a theoretical lens to explore how a primary teacher facilitated students' conceptual change through repeated…
Descriptors: Elementary School Students, Statistics Education, Mathematics Education, Elementary School Mathematics
Dolor, Jason; Noll, Jennifer – Statistics Education Research Journal, 2015
Statistics education reform efforts emphasize the importance of informal inference in the learning of statistics. Research suggests statistics teachers experience similar difficulties understanding statistical inference concepts as students and how teacher knowledge can impact student learning. This study investigates how teachers reinvented an…
Descriptors: Statistics, Mathematics Teachers, Teacher Characteristics, Hypothesis Testing
Hipkins, Rosemary – Teaching and Learning Research Initiative, 2014
This is the first report from a new initiative called TLRI Project Plus. It aims to add value to the Teaching and Learning Research Initiative (TLRI), which NZCER manages on behalf of the government, by synthesising findings across multiple projects. This report focuses on two projects in statistics education and explores the factors that…
Descriptors: Statistics, Mathematics Education, Foreign Countries, Educational Research
Noll, Jennifer; Shaughnessy, J. Michael – Journal for Research in Mathematics Education, 2012
Sampling tasks and sampling distributions provide a fertile realm for investigating students' conceptions of variability. A project-designed teaching episode on samples and sampling distributions was team-taught in 6 research classrooms (2 middle school and 4 high school) by the investigators and regular classroom mathematics teachers. Data…
Descriptors: Sampling, Mathematics Teachers, Middle Schools, High Schools
Peer reviewedOjeda, Mario Miguel; Sahai, Hardeo – International Journal of Mathematical Education in Science and Technology, 2002
Discusses some key statistical concepts in probabilistic and non-probabilistic sampling to provide an overview for understanding the inference process. Suggests a statistical model constituting the basis of statistical inference and provides a brief review of the finite population descriptive inference and a quota sampling inferential theory.…
Descriptors: Educational Strategies, Higher Education, Mathematics Education, Probability
Garofalo, Joe; Juersivich, Nicole – NCSSSMST Journal, 2007
There is much research that documents what many teachers know, that students struggle with many concepts in probability and statistics. This article presents two sample activities the authors use to help preservice teachers develop ideas about how they can use technology to promote their students' ability to understand mathematics and connect…
Descriptors: Preservice Teachers, Statistical Inference, Sampling, Probability
Peer reviewedMiller, L. Diane; Mitchell, Charles E. – School Science and Mathematics, 1995
Suggests activities using large samples to simulate quality control processes in industry (specifically, manufacturing camera film). A series of small-group activities investigate the relationship of sample size to percent defective in batch sampling. Efficiency, cost of sampling, company reputation, and public relations are business factors…
Descriptors: Data, Elementary Secondary Education, Group Activities, Learning Activities
Peer reviewedGeiger, Vince; Wallace, Robyn – Australian Mathematics Teacher, 1987
Presents teaching activities that are intended to be used to teach statistics to students in a high school mathematics program. Includes a worksheet of eight discussion questions on statistics, four activities on sampling bias, two experiments on sampling techniques, and a game known as "capture-recapture." (TW)
Descriptors: Mathematical Concepts, Mathematics Curriculum, Mathematics Education, Mathematics Instruction

Direct link
