NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Beth Chance; Andrew Kerr; Jett Palmer – Journal of Statistics and Data Science Education, 2024
While many instructors are aware of the "Literary Digest" 1936 poll as an example of biased sampling methods, this article details potential further explorations for the "Digest's" 1924-1936 quadrennial U.S. presidential election polls. Potential activities range from lessons in data acquisition, cleaning, and validation, to…
Descriptors: Publications, Public Opinion, Surveys, Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Birrell, Carole Louise – Journal of Statistics Education, 2020
Sample survey design is a topic usually taught to students undertaking a minor or major in statistics in the latter part of their bachelor's degree. This article describes an assessment project that fosters active learning and helps to develop a set of essential skills for statistical practice. The project is completed in pairs and submitted in…
Descriptors: Teamwork, Design, Teaching Methods, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Ozmen, Zeynep Medine; Guven, Bulent – International Journal of Mathematical Education in Science and Technology, 2019
Introductory statistics courses, which are important in preparing students for their daily lives, generally derive inferential statistics from informal knowledge. In this transition process, sampling distributions have an important place, yet research has shown that students often have difficulties with this concept. In order to increase their…
Descriptors: Student Attitudes, Sampling, Undergraduate Students, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
de Vetten, Arjen; Schoonenboom, Judith; Keijzer, Ronald; van Oers, Bert – Journal of Mathematics Teacher Education, 2019
The ability to reason inferentially is increasingly important in today's society. It is hypothesized here that engaging primary school students in informal statistical reasoning (ISI), defined as making generalizations without the use of formal statistical tests, will help them acquire the foundations for inferential and statistical thinking.…
Descriptors: Preservice Teachers, Mathematics Instruction, Statistics, Inferences
Peer reviewed Peer reviewed
Direct linkDirect link
Aridor, Keren; Ben-Zvi, Dani – ZDM: The International Journal on Mathematics Education, 2018
While aggregate reasoning is a core aspect of statistical reasoning, its development is a key challenge in statistics education. In this study we examine how students' aggregate reasoning with samples and sampling (ARWSS) can emerge in the context of statistical modeling activities of real phenomena. We present a case study on the emergent ARWSS…
Descriptors: Grade 6, Student Attitudes, Thinking Skills, Statistics
Beeman, Jennifer Leigh Sloan – ProQuest LLC, 2013
Research has found that students successfully complete an introductory course in statistics without fully comprehending the underlying theory or being able to exhibit statistical reasoning. This is particularly true for the understanding about the sampling distribution of the mean, a crucial concept for statistical inference. This study…
Descriptors: Sampling, Cognitive Style, Preferences, Intuition
Peer reviewed Peer reviewed
Direct linkDirect link
Wroughton, Jacqueline R.; McGowan, Herle M.; Weiss, Leigh V.; Cope, Tara M. – Statistics Education Research Journal, 2013
Context provides meaning for data analysis and the evaluation of evidence but may be distracting to students. This research explores the role of context in students' reasoning about sampling: specifically, the relationship between the strength of students' opinions about a topic, which provides the context for a study, and their ability to judge…
Descriptors: College Students, Measures (Individuals), Student Surveys, Interviews
Peer reviewed Peer reviewed
Direct linkDirect link
Lawson, John; Aggarwal, Pankaj; Leininger, Thomas; Fairchild, Kenneth – Journal of Statistics Education, 2011
This article describes a collaborative learning experience in experimental design that closely approximates what practicing statisticians and researchers in applied science experience during consulting. Statistics majors worked with a teaching assistant from the chemistry department to conduct a series of experiments characterizing the variation…
Descriptors: Majors (Students), Research Design, Chemistry, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Lunsford, M. Leigh; Rowell, Ginger Holmes; Goodson-Espy, Tracy – Journal of Statistics Education, 2006
We applied a classroom research model to investigate student understanding of sampling distributions of sample means and the Central Limit Theorem in post-calculus introductory probability and statistics courses. Using a quantitative assessment tool developed by previous researchers and a qualitative assessment tool developed by the authors, we…
Descriptors: Classroom Research, Models, Sampling, Statistics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sharma, Sashi – Teachers and Curriculum, 2005
Concerns about students' difficulties in statistical reasoning led to a study which explored year 11 (14 to 16 year-olds) students' ideas in this area. The study focussed on sampling variability, probability, descriptive statistics and graphical representations. This paper presents and discusses the ways in which students made sense of sampling…
Descriptors: High School Students, Sampling, Statistics, Probability