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Cortés-Figueroa, José E. – Journal of Chemical Education, 2022
This communication describes an activity where upper-level chemistry students explore the determinability of rate constant values without concentration dependences (k[subscript true]) related to a solvent-ligand exchange in a transition metal carbonyl complex. By performing a series of multivariable linear regression (MVLR) analyses of…
Descriptors: Chemistry, Science Instruction, Inquiry, Active Learning
Petersen, Ashley – Journal of Statistics and Data Science Education, 2022
While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…
Descriptors: Intuition, Skill Development, Correlation, Graduate Students
Ann M. Brearley; Kollin W. Rott; Laura J. Le – Journal of Statistics and Data Science Education, 2023
We present a unique and innovative course, Biostatistical Literacy, developed at the University of Minnesota. The course is aimed at public health graduate students and health sciences professionals. Its goal is to develop students' ability to read and interpret statistical results in the medical and public health literature. The content spans the…
Descriptors: Statistics Education, Data Interpretation, Teaching Methods, Biology
Sorensen-Unruh, Clarissa – Journal of Chemical Education, 2017
This Communication summarizes one of the invited papers to the Select 2016 BCCE Presentations ACS CHED Committee on Computers in Chemical Education online ConfChem held from October 30 to November 22, 2016. The ConfChem paper (included within Supporting Information) focuses on the results of one instructor's incorporation of social media into her…
Descriptors: Chemistry, Computer Uses in Education, Conferences (Gatherings), 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
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
Hassan, Mahamood M.; Schwartz, Bill N. – American Journal of Business Education, 2014
This paper discusses a student research project that is part of an advanced cost accounting class. The project emphasizes active learning, integrates cost accounting with macroeconomics and statistics by "learning by doing" using real world data. Students analyze sales data for a publicly listed company by focusing on the company's…
Descriptors: Student Research, Research Projects, Accounting, Advanced Courses
Wagaman, John C. – PRIMUS, 2012
This paper describes an active learning idea that I have used in my applied statistics class as a first lesson in correlation and regression. Students propel spitballs from various standing distances from the target and use the recorded data to determine if the spitball accuracy is associated with standing distance and review the algebra of lines…
Descriptors: Active Learning, Statistics, College Mathematics, Correlation
Froelich, Amy G.; Stephenson, W. Robert – Teaching Statistics: An International Journal for Teachers, 2013
This article presents activities appropriate for the first half of a general introductory statistics course. All activities revolve around the same data set collected early in the course. The activities require students to make decisions about how they should proceed. (Contains 2 tables and 5 figures.)
Descriptors: Statistics, Introductory Courses, Active Learning, Teaching Methods
Pinder, Jonathan P. – Decision Sciences Journal of Innovative Education, 2013
Business students taking business analytics courses that have significant predictive modeling components, such as marketing research, data mining, forecasting, and advanced financial modeling, are introduced to nonlinear regression using application software that is a "black box" to the students. Thus, although correct models are…
Descriptors: Spreadsheets, Computer Software, Regression (Statistics), Business Administration Education
Marasinghe, Mervyn; Duckworth, William M.; Shin, Tae-Sung – Journal of Statistics Education, 2004
This paper extends work on the construction of instructional modules that use graphical and simulation techniques for teaching statistical concepts (Marasinghe, et al. 1996; Iversen and Marasinghe 2001). These modules consist of two components: a software part and a lesson part. A computer program written in LISP-STAT with a highly interactive…
Descriptors: Regression (Statistics), Mathematics Instruction, Computer Graphics, Visual Aids
Roussev, Boris; Rousseva, Yvonna – Decision Sciences Journal of Innovative Education, 2004
Modern software practices call for the active involvement of business people in the software process. Therefore, programming has become an indispensable part of the information systems component of the core curriculum at business schools. In this paper, we present a model-based approach to teaching introduction to programming to general business…
Descriptors: Computer Software, Programming, Business Administration Education, Computation