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Mohammad, Nagham; McGivern, Lucinda – Online Submission, 2020
In regression analysis courses, there are many settings in which the response variable under study is continuous, strictly positive, and right skew. This type of response variable does not adhere to the normality assumptions underlying the traditional linear regression model, and accordingly may be analyzed using a generalized linear model…
Descriptors: Regression (Statistics), Statistical Distributions, Simulation, Data Analysis
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
Kaplan, Jennifer J.; Gabrosek, John G.; Curtiss, Phyllis; Malone, Chris – Journal of Statistics Education, 2014
Histograms are adept at revealing the distribution of data values, especially the shape of the distribution and any outlier values. They are included in introductory statistics texts, research methods texts, and in the popular press, yet students often have difficulty interpreting the information conveyed by a histogram. This research identifies…
Descriptors: Statistical Distributions, Graphs, Undergraduate Students, Misconceptions
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
Groth, Randall E.; Kent, Kristen D.; Hitch, Ebony D. – Mathematics Teaching in the Middle School, 2015
Considerable discrepancies between the mean and median often occur in data sets that are skewed left, skewed right, or have other unusual features. In such cases, it is important to analyze the data and context carefully to decide how best to describe centers of distributions. The importance of this type of statistical thinking is acknowledged in…
Descriptors: Common Core State Standards, Mathematics Instruction, Statistical Analysis, Statistics
Aydin, Mensure – Educational Research and Reviews, 2015
The purpose of the study is to explore the impact of chess instruction for visually impaired children on math achievement. The study group consists of a total of 26 visually impaired students from inclusion classes in inclusive secondary schools of MoNE (Ministry of National Education), 9 male and 5 female students in the experiment group and 8…
Descriptors: Foreign Countries, Inclusion, Visual Impairments, Secondary School Students
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
Sander, Elisabeth; Heiß, Andrea – Journal of Educational Computing Research, 2014
Three different versions of a learning program on trigonometry were compared, a program controlled, non-interactive version (CG), an interactive, conflict inducing version (EG 1), and an interactive one which was supposed to reduce the occurrence of a cognitive conflict regarding the central problem solution (EG 2). Pupils (N = 101) of a…
Descriptors: Foreign Countries, Trigonometry, Mathematics Instruction, Comparative Analysis
Thaler, Cheryl D. – ProQuest LLC, 2013
Since the United States Congress enacted the No Child Left Behind Act in 2001, school districts have been charged with ensuring that all students are proficient in reading and math by 2014. Schools failing to achieve are labeled as failing or needing improvement. This study sought to determine if commercially produced elementary math curricula…
Descriptors: Mathematics Instruction, Grade 3, Grade 4, Mathematics Achievement
Laumakis, Paul – Mathematics Teacher, 2011
When taking mathematics courses, students will sometimes ask their recurring question, "When will I ever use this in real life?" Educators are often unable to provide a direct connection between what they are teaching in the classroom and a real-life application. However, when such an opportunity does arise, they should seize it and…
Descriptors: Regression (Statistics), Mathematics Instruction, Mathematics, Mathematics Curriculum
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The modules also introduce students to real world math concepts and problems that property and casualty actuaries come across in their work. They are designed to be used by teachers and…
Descriptors: Probability, Statistics, Learning Modules, Calculus

Sommerfeld, Jude T. – Chemical Engineering Education, 1986
Summarizes a simple design algorithm which identifies nested loops of equations which must be solved by trial-and-error methods. The algorithm is designed to minimize such loops, provides guidance to the selection of variables, and delineates the order in which systems of equations are to be solved. Examples are included. (TW)
Descriptors: Algorithms, Chemical Engineering, College Mathematics, College Science

Scheuermann, 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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