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Lane-Getaz, Sharon – Statistics Education Research Journal, 2017
In reaction to misuses and misinterpretations of p-values and confidence intervals, a social science journal editor banned p-values from its pages. This study aimed to show that education could address misuse and abuse. This study examines inference-related learning outcomes for social science students in an introductory course supplemented with…
Descriptors: Statistical Inference, Outcomes of Education, Introductory Courses, Social Sciences
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Backman, Matthew D.; Delmas, Robert C.; Garfield, Joan – Statistics Education Research Journal, 2017
Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A…
Descriptors: Introductory Courses, Statistics, Mathematics Instruction, Simulation
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Blackburn, Greg – E-Learning and Digital Media, 2015
The study investigates (1) the effectiveness of using eLearning-embedded stories and pictures in order to improve learning outcomes for students and (2) how universities can adopt innovative approaches to the creation of Problem-Based Learning (PBL) resources and embed them in educational technology for teaching domain-specific content, such as…
Descriptors: Electronic Learning, Instructional Effectiveness, Teaching Methods, College Freshmen
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Larwin, Karen H.; Larwin, David A. – Journal of Education for Business, 2011
Bootstrapping methods and random distribution methods are increasingly recommended as better approaches for teaching students about statistical inference in introductory-level statistics courses. The authors examined the effect of teaching undergraduate business statistics students using random distribution and bootstrapping simulations. It is the…
Descriptors: Experimental Groups, Control Groups, Research Design, Grade Point Average
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Tintle, Nathan; VanderStoep, Jill; Holmes, Vicki-Lynn; Quisenberry, Brooke; Swanson, Todd – Journal of Statistics Education, 2011
The algebra-based introductory statistics course is the most popular undergraduate course in statistics. While there is a general consensus for the content of the curriculum, the recent Guidelines for Assessment and Instruction in Statistics Education (GAISE) have challenged the pedagogy of this course. Additionally, some arguments have been made…
Descriptors: Statistical Inference, Statistics, College Curriculum, Curriculum Implementation
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Marsh, Michael T. – American Journal of Business Education, 2009
Regardless of the related discipline, students in statistics courses invariably have difficulty understanding the connection between the numerical values calculated for end-of-the-chapter exercises and their usefulness in decision making. This disconnect is, in part, due to the lack of time and opportunity to actually design the experiments and…
Descriptors: Online Courses, Statistical Analysis, Sampling, Teaching Methods
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Meletiou-Mavrotheris, M.; Lee, C.; Fouladi, R. T. – International Journal of Mathematical Education in Science & Technology, 2007
This paper presents findings from a qualitative study that compared the learning experiences of a group of students from a technology-based college-level introductory statistics course with the learning experiences of a group of students with non-technology-based instruction. Findings from the study indicate differences with regards to classroom…
Descriptors: Student Attitudes, Educational Technology, Statistical Inference, College Students
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Hong, EunSook; O'Neil, Harold F., Jr. – Journal of Educational Psychology, 1992
A mental model analysis was conducted with 27 graduate and 29 undergraduate students in the statistical hypothesis testing domain to determine the nature of relevant mental models that can be taught to novices. Results suggest the efficacy of using separate and diagrammatic strategies in teaching novices introductory hypothesis testing. (SLD)
Descriptors: Graduate Students, Higher Education, Hypothesis Testing, Instructional Effectiveness