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Yates, Philip A. – Journal of Statistics Education, 2019
When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…
Descriptors: Factor Analysis, Mathematics Education, Regression (Statistics), Classification
Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
Stone, Brian W.; Kay, Donovan; Reynolds, Anthony – Journal of Statistics Education, 2019
Instructors of postsecondary classes in statistics rely heavily on visuals in their teaching, both within the classroom and in resources like textbooks, handouts, and software, but this information is often inaccessible to students who are blind or visually impaired (BVI). The unique challenges involved in adapting both pedagogy and course…
Descriptors: College Students, Visual Impairments, Blindness, Teaching Methods
McGee, Monnie; Stokes, Lynne; Nadolsky, Pavel – Journal of Statistics Education, 2016
Much has been made of the flipped classroom as an approach to teaching, and its effect on student learning. The volume of material showing that the flipped classroom technique helps students better learn and better retain material is increasing at a rapid pace. Coupled with this technique is active learning in the classroom. There are many ways of…
Descriptors: Statistics, Active Learning, Video Technology, Homework
Bates Prins, Samantha C. – Journal of Statistics Education, 2009
This paper provides an example of how student-centered instruction can be used in a theoretical statistics class. The author taught a two-semester undergraduate probability and mathematical statistics sequence using primarily teacher-centered instruction in the first semester and primarily student-centered instruction in the second semester. A…
Descriptors: Class Size, Statistics, Probability, Student Centered Curriculum
Smith, Margaret H. – Journal of Statistics Education, 2004
Unless the sample encompasses a substantial portion of the population, the standard error of an estimator depends on the size of the sample, but not the size of the population. This is a crucial statistical insight that students find very counterintuitive. After trying several ways of convincing students of the validity of this principle, I have…
Descriptors: Sample Size, Error of Measurement, Mathematics Instruction, College Mathematics