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Anastasia Michalopoulou; Sonia Kafoussi – International Electronic Journal of Mathematics Education, 2024
This paper argues that engaging students in informal statistical reasoning from early school years is essential for the development of statistical understanding. We investigated if and how children aged six-seven years old identified variation in a table of data and made predictions through the design of a teaching experiment. The classroom…
Descriptors: Statistics, Thinking Skills, Grade 1, Elementary School Students
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Frischemeier, Daniel; Schnell, Susanne – Mathematics Education Research Journal, 2023
As data are 'numbers with context' (Cobb & Moore, 1997), contextual knowledge plays a prominent role in dealing with statistics. While insights about a specific context can further the depth of interpreting and evaluating outcomes of data analysis, research shows how it can also hinder relying on data especially if results differ from…
Descriptors: Elementary School Students, Context Effect, Data Analysis, Case Studies
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fourth in a series of statistical articles for mathematics teachers. In this article, the authors discuss topics in General Mathematics in Unit 2 Topic 1 (Univariate data analysis and the statistical investigation process) and topics in Essential Mathematics, Unit 2 Topic 1 (Representing and comparing data).
Descriptors: Mathematics Education, Mathematics Instruction, Data Analysis, Graphs
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Lee, Hollylynne S.; Mojica, Gemma F.; Lovett, Jennifer N. – Online Learning, 2020
With online learning becoming a more viable option for teachers to develop their expertise, our report shares one such effort focused on improving the teaching of statistics. We share design principles and learning opportunities in an online course developed specifically to serve as a widescale online professional development opportunity for…
Descriptors: Professional Development, Beliefs, Statistics, Mathematics Instruction
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Andrade, Luisa; Fernández, Felipe – Universal Journal of Educational Research, 2016
As literature has reported, it is usual that university students in statistics courses, and even statistics teachers, interpret the confidence level associated with a confidence interval as the probability that the parameter value will be between the lower and upper interval limits. To confront this misconception, class activities have been…
Descriptors: Conflict, College Students, Statistics, Probability
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Stander, Julian; Dalla Valle, Luciana – Journal of Statistics Education, 2017
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…
Descriptors: Foreign Countries, College Students, College Mathematics, Statistics
Eybers, Sunet; Hattingh, Mariè – International Association for Development of the Information Society, 2016
Data is everywhere. As a result the need for data scientists with the correct skill set to analyze and interpret the data has escalated. Not surprisingly, data scientists are currently one of the most wanted professions. Tertiary institutions are faced with the challenge of producing students with the correct blend of theoretical knowledge and…
Descriptors: Foreign Countries, Graduate Students, Data Analysis, Statistics
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Sole, Marla A. – Mathematics Teacher, 2016
Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…
Descriptors: Statistics, Mathematics Instruction, Data Collection, Teaching Methods
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Dogan Temur, Özlem; Akbaba Dag, Serap; Turgut, Sedat – International Electronic Journal of Elementary Education, 2015
With developing technology statistical information and data sources become a very important issues and from primary school it has become necessary to gain the skills for making interpreting and making sense of data. These skills consist of collecting information, arrangement and analysis of collected data and the interpretation of the results. The…
Descriptors: Preservice Teachers, Elementary Education, Student Teaching, Mathematics Instruction
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Blagdanic, Casandra; Chinnappan, Mohan – Australian Mathematics Teacher, 2013
Numeracy in schools is becoming an increasingly important part of mathematics learning and teaching. This is because educators want students to engage with mathematical concepts more deeply, use mathematics to make sense of their environment and make decisions that are based on the analysis of mathematical information. In order to be numerate,…
Descriptors: Statistical Analysis, Statistics, Data Interpretation, Numeracy
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Payne, Brad; Freeman, Jenny; Stillman, Eleanor – Teaching Statistics: An International Journal for Teachers, 2013
The analysis and interpretation of data are important life skills. A poster challenge for schoolchildren provides an innovative outlet for these skills and demonstrates their relevance to daily life. We discuss our Statistics Poster Challenge and the lessons we have learned.
Descriptors: Statistics, Data Interpretation, Instructional Innovation, Teaching Methods
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Kader, Gary D. – Mathematics Teaching in the Middle School, 1999
Introduces an activity designed to develop statistical concepts such as the distribution for a set of data, various interpretations of the mean for a set of data, the limitation of the mean for distinguishing distributions, variation in data, variation in data from the mean, and the MAD as a measure of variation in data from the mean. (ASK)
Descriptors: Data Interpretation, Grade 8, Mathematics Activities, Mathematics Instruction
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Strutchens, Marilyn E. – Mathematics Teaching in the Middle School, 1999
Presents an activity using national achievement data to involve students in a project on data collection and statistics while learning about their attitudes toward and beliefs about mathematics. This activity presents a good opportunity to talk about various interpretations of data and allows students to examine and discuss their attitudes about…
Descriptors: Data Interpretation, Data Processing, Mathematics Activities, Mathematics Instruction
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Johnson, Art – Mathematics Teaching in the Middle School, 1999
Presents different real-world mathematics activities on data display and data analysis with pie charts from different time periods. (ASK)
Descriptors: Charts, Data Analysis, Data Interpretation, Graphs
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Hunt, Gordon – Teaching Statistics, 1998
Describes an activity that engages pupils in the whole statistical process from collecting data to interpreting the results. Discusses the importance of these activities in developing knowledge, skills, understanding, and ability in problem solving. (Author/ASK)
Descriptors: Data Collection, Data Interpretation, Data Processing, Elementary Secondary Education
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