NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)2
Since 2007 (last 20 years)28
Publication Type
Reports - Descriptive32
Journal Articles22
Numerical/Quantitative Data8
Historical Materials1
Laws, Policies, & Programs
Higher Education Act Title IV1
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 32 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Autin, Melanie A.; Gerstenschlager, Natasha E. – Teaching Statistics: An International Journal for Teachers, 2019
The negative hypergeometric distribution is often not formally studied in secondary or collegiate statistics in contexts other than drawing cards without replacement. We present a different context with the potential of engaging students in simulating and exploring data.
Descriptors: Statistics, Teaching Methods, Simulation, Educational Games
Peer reviewed Peer reviewed
Direct linkDirect link
Eadie, Gwendolyn; Huppenkothen, Daniela; Springford, Aaron; McCormick, Tyler – Journal of Statistics Education, 2019
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m's®. The exercise is best suited for small class sizes and tutorial settings, after students have been introduced to the concepts of Bayesian statistics. The exercise takes advantage of the nonuniform distribution of…
Descriptors: Undergraduate Students, Bayesian Statistics, Active Learning, Learning Activities
Peer reviewed Peer reviewed
Direct linkDirect link
Siegfried, John J. – Journal of Economic Education, 2016
Undergraduate degrees awarded in economics by U.S. colleges and universities were stagnant from 2009-10 through 2012-13, but have increased rapidly (almost 14 percent) over the two years from 2012-13 through 2014-15.
Descriptors: Trend Analysis, Economics Education, Undergraduate Study, Educational Trends
Peer reviewed Peer reviewed
Direct linkDirect link
Farnsworth, David L. – PRIMUS, 2014
We derive the additive property of Poisson random variables directly from the probability mass function. An important application of the additive property to quality testing of computer chips is presented.
Descriptors: Mathematical Formulas, Calculus, Equations (Mathematics), Tests
OECD Publishing, 2015
Educational opportunities have a very important impact on a person's life. Employment, earnings, well-being, health and trust are all strongly related to education and skills. A lack of high-quality educational opportunities is the most important way in which poverty, social inequality and exclusion are transmitted from one generation to another.…
Descriptors: Educational Indicators, Educational Opportunities, Educational Attainment, Disproportionate Representation
Peer reviewed Peer reviewed
Direct linkDirect link
Griffiths, Martin – International Journal of Mathematical Education in Science and Technology, 2013
We consider here the problem of calculating the moments of binomial random variables. It is shown how formulae for both the raw and the central moments of such random variables may be obtained in a recursive manner utilizing Stirling numbers of the first kind. Suggestions are also provided as to how students might be encouraged to explore this…
Descriptors: Statistics, Statistical Distributions, Probability, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Wulff, Shaun S.; Robinson, Timothy J. – Journal of Statistics Education, 2014
Bayesian methodology continues to be widely used in statistical applications. As a result, it is increasingly important to introduce students to Bayesian thinking at early stages in their mathematics and statistics education. While many students in upper level probability courses can recite the differences in the Frequentist and Bayesian…
Descriptors: Bayesian Statistics, Probability, College Mathematics, Mathematics Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Jinhui – Chinese Education & Society, 2016
The basic relationships among scale, quality, and benefits in Sino-foreign cooperative education are key to the development of cooperative education. It is necessary to construct a theoretical framework for the basic relationships among scale, quality, and benefits in Sino-foreign cooperative education and analyze the questions faced in…
Descriptors: Cooperative Education, International Educational Exchange, Educational Cooperation, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Kasprowicz, Tomasz; Musumeci, Jim – Journal of Statistics Education, 2015
One econometric rule of thumb is that greater dispersion in observations of the independent variable improves estimates of regression coefficients and therefore produces better results, i.e., lower standard errors of the estimates. Nevertheless, students often seem to mistrust precisely the observations that contribute the most to this greater…
Descriptors: Regression (Statistics), Teaching Methods, Active Learning, Observation
Peer reviewed Peer reviewed
Direct linkDirect link
Quinino, Roberto C.; Reis, Edna A.; Bessegato, Lupercio F. – Teaching Statistics: An International Journal for Teachers, 2013
This article proposes the use of the coefficient of determination as a statistic for hypothesis testing in multiple linear regression based on distributions acquired by beta sampling. (Contains 3 figures.)
Descriptors: Multiple Regression Analysis, Hypothesis Testing, Sampling, Statistical Distributions
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
O'Hara, Michael E. – Journal of Economic Education, 2014
Although the concept of the sampling distribution is at the core of much of what we do in econometrics, it is a concept that is often difficult for students to grasp. The thought process behind bootstrapping provides a way for students to conceptualize the sampling distribution in a way that is intuitive and visual. However, teaching students to…
Descriptors: Economics Education, Economics, Sampling, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Kahle, David – Journal of Statistics Education, 2014
In this article, I introduce a novel applet ("module") for exploring probability distributions, their samples, and various related statistical concepts. The module is primarily designed to be used by the instructor in the introductory course, but it can be used far beyond it as well. It is a free, cross-platform, stand-alone interactive…
Descriptors: Monte Carlo Methods, Learning Modules, Probability, Statistical Distributions
National Student Clearinghouse, 2014
Just over 9% of all students attended more than one institution during the 2012-13 academic year. In each year studied, nearly three-fourths of all mobile students had at least one enrollment at a 2-year public institution. In each of the included years, students in the 20 and under age group had the highest mobility rates, followed by students in…
Descriptors: Student Mobility, Enrollment Trends, Population Groups, Statistical Distributions
Peer reviewed Peer reviewed
Direct linkDirect link
Leemis, Lawrence M.; Luckett, Daniel J.; Powell, Austin G.; Vermeer, Peter E. – Journal of Statistics Education, 2012
We describe a web-based interactive graphic that can be used as a resource in introductory classes in mathematical statistics. This interactive graphic presents 76 common univariate distributions and gives details on (a) various features of the distribution such as the functional form of the probability density function and cumulative distribution…
Descriptors: Probability, Statistical Distributions, Transformations (Mathematics), Bayesian Statistics
Previous Page | Next Page »
Pages: 1  |  2  |  3