NotesFAQContact Us
Collection
Advanced
Search Tips
50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing 1 to 15 of 20 results
Peer reviewed Peer reviewed
Direct linkDirect link
Derryberry, DeWayne R.; Schou, Sue B.; Conover, W. J. – Journal of Statistics Education, 2010
Students learn to examine the distributional assumptions implicit in the usual t-tests and associated confidence intervals, but are rarely shown what to do when those assumptions are grossly violated. Three data sets are presented. Each data set involves a different distributional anomaly and each illustrates the use of a different nonparametric…
Descriptors: Nonparametric Statistics, Hypothesis Testing, Instruction, Statistical Distributions
Peer reviewed Peer reviewed
Direct linkDirect link
Libman, Zipora – Journal of Statistics Education, 2010
This article looks at a process of integrating real-life data investigation in a course on descriptive statistics. Referring to constructivist perspectives, this article suggests a look at the potential of inculcating alternative teaching methods that encourage students to take a more active role in their own learning and participate in the…
Descriptors: Statistics, Instruction, Teaching Methods, Constructivism (Learning)
Peer reviewed Peer reviewed
Direct linkDirect link
Kaplan, Jennifer K. – Journal of Statistics Education, 2009
Psychologists have discovered a phenomenon called "Belief Bias" in which subjects rate the strength of arguments based on the believability of the conclusions. This paper reports the results of a small qualitative pilot study of undergraduate students who had previously taken an algebra-based introduction to statistics class. The subjects in this…
Descriptors: Psychologists, Beliefs, Bias, Evaluative Thinking
Peer reviewed Peer reviewed
Direct linkDirect link
Smith, Narelle; Reid, Anna; Petocz, Peter – Journal of Statistics Education, 2009
Internationalisation is an important but contentious issue in higher education. For some it means the facilitation of student mobility and an important source of funding for universities, while for others it forms a philosophy of teaching and student engagement, highlighting issues of global inequality. In this study, the papers from a recent…
Descriptors: Foreign Countries, Higher Education, Student Mobility, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Wiberg, Marie – Journal of Statistics Education, 2009
The aim was to revise a statistics course in order to get the students motivated to learn statistics and to integrate statistics more throughout a psychology course. Further, we wish to make students become more interested in statistics and to help them see the importance of using statistics in psychology research. To achieve this goal, several…
Descriptors: Statistics, Instruction, Psychology, Fused Curriculum
Peer reviewed Peer reviewed
Direct linkDirect link
Lesser, Lawrence M.; Pearl, Dennis K. – Journal of Statistics Education, 2009
This paper presents an overview of modalities that can be used to make learning statistics fun. Representative examples or points of departure in the literature are provided for no less than 20 modalities. Empirical evidence of effectiveness specific to statistics education is starting to emerge for some of these modalities--namely, humor, song,…
Descriptors: Statistics, Instruction, Anxiety, Cartoons
Peer reviewed Peer reviewed
Direct linkDirect link
Jernigan, Robert W. – Journal of Statistics Education, 2008
This article shows a concrete and easy recognizable view of a cumulative distribution function(cdf). Photograph views of the search tabs on dictionaries are used to increase students' understanding and facility with the concept of a cumulative distribution function. Projects for student investigations are also given. This motivation and view helps…
Descriptors: Statistical Distributions, Mathematics, Visual Aids, Photography
Peer reviewed Peer reviewed
Direct linkDirect link
Velleman, Paul F. – Journal of Statistics Education, 2008
Statisticians and Statistics teachers often have to push back against the popular impression that Statistics teaches how to lie with data. Those who believe incorrectly that Statistics is solely a branch of Mathematics (and thus algorithmic), often see the use of judgment in Statistics as evidence that we do indeed manipulate our results. In the…
Descriptors: Statistics, Instruction, Ethics, Evaluative Thinking
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Phelps, Amy L.; Dostilio, Lina – Journal of Statistics Education, 2008
The present study addresses the efficacy of using service-learning methods to meet the GAISE guidelines (http://www.amstat.org/education/gaise/GAISECollege.htm) in a second business statistics course and further explores potential advantages of assigning a service-learning (SL) project as compared to the traditional statistics project assignment.…
Descriptors: Business Administration Education, Intellectual Disciplines, Statistics, Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Richardson, Alice – Journal of Statistics Education, 2007
The technique of distance sampling is widely used to monitor biological populations. This paper documents an in-class activity to introduce students to the concepts and the mechanics of distance sampling in a simple situation that is relevant to their own experiences. Preparation details are described. Variations and extensions to the activity are…
Descriptors: Sampling, Statistics, Instruction, Biology
Peer reviewed Peer reviewed
Direct linkDirect link
Chu, Singfat – Journal of Statistics Education, 2007
The paper reports some initiatives to freshen up the typical undergraduate business forecasting course. These include (1) students doing research and presentations on contemporary tools and industry practices such as neural networks and collaborative forecasting (2) insertion of Logistic Regression in the curriculum (3) productive use of applets…
Descriptors: Undergraduate Study, Business Administration Education, Statistics, Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Green, Hilary – Journal of Statistics Education, 2007
This paper refers to a graph called "grapharti" which I have developed. "Grapharti" is designed to organise and display large amounts of data obtained from surveys, opinion polls, course/teacher evaluations, sports and the stock market. The data are retrieved from a database and displayed on a web page. The purpose of this paper is to show that…
Descriptors: Statistics, Instruction, Visual Aids, Data
Peer reviewed Peer reviewed
Direct linkDirect link
Shkedy, Ziv; Aerts, Marc; Callaert, Herman – Journal of Statistics Education, 2006
Classical regression models, ANOVA models and linear mixed models are just three examples (out of many) in which the normal distribution of the response is an essential assumption of the model. In this paper we use a dataset of 2000 euro coins containing information (up to the milligram) about the weight of each coin, to illustrate that the…
Descriptors: Foreign Countries, Regression (Statistics), Models, Goodness of Fit
Peer reviewed Peer reviewed
Direct linkDirect link
Preston, Scott – Journal of Statistics Education, 2006
The dataset presented here illustrates to students the utility of logistic regression. Its analysis results in a fit that explains much of how senators vote on a particular bill, and allows for quantification of the effects of ideology and money on the vote. A number of interesting quantitative interpretations follow from a good fit. A successful…
Descriptors: Statistics, Instruction, Regression (Statistics), Mathematical Models
Previous Page | Next Page ยป
Pages: 1  |  2