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Mangiero, George A.; Kraten, Michael – American Journal of Business Education, 2017
Financial analysts generally create static formulas for the computation of NPV. When they do so, however, it is not readily apparent how sensitive the value of NPV is to changes in multiple interdependent and interrelated variables. It is the aim of this paper to analyze this variability by employing a dynamic, visually graphic presentation using…
Descriptors: Predictor Variables, Visual Aids, Computer Graphics, Business Administration Education
Bertheussen, Bernt Arne; Myrland, Øystein – Journal of Education for Business, 2016
This study reports on the effect of student engagement in digital learning activities on academic performance for 120 students enrolled in an undergraduate finance course. Interactive practice and exam problem files were available to each student, and individual download activity was automatically recorded during the first 50 days of the course.…
Descriptors: Learning Activities, Academic Achievement, Learner Engagement, Undergraduate Students
Letkowski, Jerzy – Journal of Case Studies in Education, 2014
Descripting Statistics provides methodology and tools for user-friendly presentation of random data. Among the summary measures that describe focal tendencies in random data, the mode is given the least amount of attention and it is frequently misinterpreted in many introductory textbooks on statistics. The purpose of the paper is to provide a…
Descriptors: Statistical Data, Data Interpretation, Statistics, Qualitative Research
Martin, David – Journal of Statistics Education, 2008
This note presents a spreadsheet tool that allows teachers the opportunity to guide students towards answering on their own questions related to the multiple regression F-test, the t-tests, and multicollinearity. The note demonstrates approaches for using the spreadsheet that might be appropriate for three different levels of statistics classes,…
Descriptors: Statistics, Instruction, Teaching Methods, Answer Keys
Smarkola, Claudia – Journal of Educational Computing Research, 2007
This study investigated 160 student teachers' and 158 experienced teachers' self-reported computer usage and their future intentions to use computer applications for school assignments. The Technology Acceptance Model (TAM) was used as the framework to determine computer usage and intentions. Statistically significant results showed that after…
Descriptors: Computer Attitudes, Student Teachers, Student Teacher Attitudes, Teacher Attitudes

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