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Nobuyuki Hanaki; Jan R. Magnus; Donghoon Yoo – Journal of Statistics and Data Science Education, 2023
Common sense is a dynamic concept and it is natural that our (statistical) common sense lags behind the development of statistical science. What is not so easy to understand is why common sense lags behind as much as it does. We conduct a survey among Japanese students and provide examples and tentative explanations of a number of statistical…
Descriptors: Statistics, Statistics Education, Epistemology, Statistical Analysis
Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
Roy, Sudipta – Teaching Statistics: An International Journal for Teachers, 2019
The natural experiment proposed in this article extracts three stories from boxes of "100 paper clips". The activity requires students to apply three lessons from inferential statistics, starting with a hypothesis test and including confidence intervals as well as tolerance intervals.
Descriptors: Statistical Inference, Probability, Teaching Methods, Hypothesis Testing
CadwalladerOlsker, Todd – Mathematics Teacher, 2019
Students studying statistics often misunderstand what statistics represent. Some of the most well-known misunderstandings of statistics revolve around null hypothesis significance testing. One pervasive misunderstanding is that the calculated p-value represents the probability that the null hypothesis is true, and that if p < 0.05, there is…
Descriptors: Statistics, Mathematics Education, Misconceptions, Hypothesis Testing
Travers, Jason C.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2017
"p" values are commonly reported in quantitative research, but are often misunderstood and misinterpreted by research consumers. Our aim in this article is to provide special educators with guidance for appropriately interpreting "p" values, with the broader goal of improving research consumers' understanding and interpretation…
Descriptors: Statistical Analysis, Special Education, Research, Hypothesis Testing
How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Artificial intelligence-enabled adaptive learning systems (AI-ALS) are increasingly being deployed in education to enhance the learning needs of students. However, educational stakeholders are required by policy-makers to conduct an independent evaluation of the AI-ALS using a small sample size in a pilot study, before that AI-ALS can be approved…
Descriptors: Stakeholders, Artificial Intelligence, Bayesian Statistics, Probability
Gorard, Stephen; White, Patrick – Statistics Education Research Journal, 2017
In their response to our paper, Nicholson and Ridgway agree with the majority of what we wrote. They echo our concerns about the misuse of inferential statistics and NHST in particular. Very little of their response explicitly challenges the points we made but where it does their defence of the use of inferential techniques does not stand up to…
Descriptors: Statistical Inference, Statistics, Statistical Significance, Probability
Hicks, Tyler; Rodríguez-Campos, Liliana; Choi, Jeong Hoon – American Journal of Evaluation, 2018
To begin statistical analysis, Bayesians quantify their confidence in modeling hypotheses with priors. A prior describes the probability of a certain modeling hypothesis apart from the data. Bayesians should be able to defend their choice of prior to a skeptical audience. Collaboration between evaluators and stakeholders could make their choices…
Descriptors: Bayesian Statistics, Evaluation Methods, Statistical Analysis, Hypothesis Testing
Solomon, Benjamin G. – Communique, 2016
In August 2015, in an article entitled "Estimating the Reproducibility of Psychology Science," the journal "Science" reported the findings of a comprehensive collaboration of social scientist researchers, collectively described as the "Open Science Collaboration" (OSC), who replicated the findings of 100 experiments…
Descriptors: Psychological Studies, School Psychologists, Replication (Evaluation), Probability
Aaberg, Shelby; Vitosh, Jason; Smith, Wendy – Mathematics Teacher, 2016
A classic TV commercial once asked, "How many licks does it take to get to the center of a Tootsie Roll Tootsie Pop?" The narrator claims, "The world may never know" (Tootsie Roll 2012), but an Internet search returns a multitude of answers, some of which include rigorous systematic approaches by academics to address the…
Descriptors: Statistics, Hypothesis Testing, Mathematics, Mathematics Education
Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
Benson, Eric – Journal of Instructional Pedagogies, 2013
The statistical output of interest to most elementary statistics students is the p-value, outputted in computer programs like SPSS, Minitab and SAS. Statistical decisions are sometimes made using these values without understanding the meaning or how these values are calculated. Most elementary statistics textbooks calculates p-values for z-tests…
Descriptors: Teaching Methods, Graphing Calculators, Statistics, Mathematics Instruction
Seier, Edith; Liu, Yali – Teaching Statistics: An International Journal for Teachers, 2013
In introductory statistics courses, the concept of power is usually presented in the context of testing hypotheses about the population mean. We instead propose an exercise that uses a binomial probability table to introduce the idea of power in the context of testing a population proportion. (Contains 2 tables, and 2 figures.)
Descriptors: Statistics, Teaching Methods, Mathematics Instruction, Probability
Lesser, Lawrence M. – Teaching Statistics: An International Journal for Teachers, 2012
This article presents engaging interactive hypothesis tests which can be conducted with students very efficiently.
Descriptors: Hypothesis Testing, Teaching Methods, Class Activities, Probability
Schlotter, Nicholas E. – Journal of Chemical Education, 2013
Our ability to statistically analyze data has grown significantly with the maturing of computer hardware and software. However, the evolution of our statistics capabilities has taken place without a corresponding evolution in the curriculum for the undergraduate chemistry major. Most faculty understands the need for a statistical educational…
Descriptors: Statistics, College Mathematics, College Science, Undergraduate Students