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Noll, Jennifer; Hancock, Stacey – Educational Studies in Mathematics, 2015
This research investigates what students' use of statistical language can tell us about their conceptions of distribution and sampling in relation to informal inference. Prior research documents students' challenges in understanding ideas of distribution and sampling as tools for making informal statistical inferences. We know that these…
Descriptors: Statistical Analysis, Mathematics Instruction, Mathematical Concepts, Inferences
Taylor, Laura; Doehler, Kirsten – Journal of Statistics Education, 2015
This paper examines the use of a randomization-based activity to introduce the ANOVA F-test to students. The two main goals of this activity are to successfully teach students to comprehend ANOVA F-tests and to increase student comprehension of sampling distributions. Four sections of students in an advanced introductory statistics course…
Descriptors: Sampling, Statistical Distributions, Statistical Analysis, Mathematics Activities
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
Strazzeri, Kenneth Charles – ProQuest LLC, 2013
The purposes of this study were to investigate (a) undergraduate students' reasoning about the concepts of confidence intervals (b) undergraduate students' interactions with "well-designed" screencast videos on sampling distributions and confidence intervals, and (c) how screencast videos improve undergraduate students' reasoning ability…
Descriptors: Undergraduate Students, Video Technology, Statistics, Logical Thinking
Peer reviewedGordon, Florence – Mathematics and Computer Education, 1987
Sophisticated simulations using computer graphics can lead to students deducing virtually all conditions of the Central Limit Theorem. Eight graphs illustrate the discussion. (MNS)
Descriptors: College Mathematics, Computer Graphics, Computer Simulation, Graphs
Peer reviewedScheuermann, Larry – Journal of Computers in Mathematics and Science Teaching, 1989
Provides a short BASIC program, RANVAR, which generates random variates for various theoretical probability distributions. The seven variates include: uniform, exponential, normal, binomial, Poisson, Pascal, and triangular. (MVL)
Descriptors: College Mathematics, Computer Software, Computer Uses in Education, Courseware

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