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Showing 1 to 15 of 18 results Save | Export
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Johnson, Roger W. – Journal of Statistics and Data Science Education, 2021
Percentage of body fat, age, weight, height, and 14 circumference measurements (e.g., waist) are given for 184 women aged 18-25. Body fat, one measure of health, was accurately determined by an underwater weighing technique which requires special equipment and training of the individuals conducting the process. Modeling body fat percentage using…
Descriptors: Body Composition, Statistics Education, Teaching Methods, Age Differences
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Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Witt, Gary – Journal of Statistics Education, 2013
This paper shows how the application of simple statistical methods can reveal to students important insights from climate data. While the popular press is filled with contradictory opinions about climate science, teachers can encourage students to use introductory-level statistics to analyze data for themselves on this important issue in public…
Descriptors: Climate, Data, Introductory Courses, Statistics
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Quinino, Roberto C.; Reis, Edna A.; Bessegato, Lupercio F. – Teaching Statistics: An International Journal for Teachers, 2013
This article proposes the use of the coefficient of determination as a statistic for hypothesis testing in multiple linear regression based on distributions acquired by beta sampling. (Contains 3 figures.)
Descriptors: Multiple Regression Analysis, Hypothesis Testing, Sampling, Statistical Distributions
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Sims, Paul A. – Journal of Chemical Education, 2012
A brief history of the development of the empirical equation that is used by prominent, Internet-based programs to estimate (or calculate) the extinction coefficients of proteins is presented. In addition, an overview of a series of related assignments designed to help students understand the origin of the empirical equation is provided. The…
Descriptors: Biochemistry, College Science, Science Instruction, Undergraduate Students
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Beckstead, Jason W. – Multivariate Behavioral Research, 2012
The presence of suppression (and multicollinearity) in multiple regression analysis complicates interpretation of predictor-criterion relationships. The mathematical conditions that produce suppression in regression analysis have received considerable attention in the methodological literature but until now nothing in the way of an analytic…
Descriptors: Multiple Regression Analysis, Predictor Variables, Factor Analysis, Structural Equation Models
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Jerome, Lawrence – Mathematics and Computer Education, 2011
As anyone who has taught or taken a statistics course knows, statistical calculations can be tedious and error-prone, with the details of a calculation sometimes distracting students from understanding the larger concepts. Traditional statistics courses typically use scientific calculators, which can relieve some of the tedium and errors but…
Descriptors: Textbooks, Visual Learning, Graphs, Hypothesis Testing
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Karanam, Saraschandra; van Oostendorp, Herre; Indurkhya, Bipin – Behaviour & Information Technology, 2012
CoLiDeS + Pic is a cognitive model of web-navigation that incorporates semantic information from pictures into CoLiDeS. In our earlier research, we have demonstrated that by incorporating semantic information from pictures, CoLiDeS + Pic can predict the hyperlinks on the shortest path more frequently, and also with greater information scent,…
Descriptors: Semantics, Hypermedia, Semiotics, Visual Stimuli
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Raikes, Mark H.; Berling, Victoria L.; Davis, Jody M. – Christian Higher Education, 2012
The cost of higher education continues to climb, while calls for increased institutional accountability and the value of a "four-year degree" are ever present. This research sought to identify factors by which consumers might predict four-year graduation rates at institutions within the CCCU. A hierarchical multiple regression analysis of data…
Descriptors: Church Related Colleges, Time to Degree, Predictor Variables, Graduation Rate
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Cooper, Paul D. – Journal of Chemical Education, 2010
A new procedure using a student-friendly least-squares multiple linear-regression technique utilizing a function within Microsoft Excel is described that enables students to calculate molecular constants from the vibronic spectrum of iodine. This method is advantageous pedagogically as it calculates molecular constants for ground and excited…
Descriptors: Multiple Regression Analysis, Molecular Structure, Science Instruction, Computer Uses in Education
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DePaolo, Concetta A.; Robinson, David F. – Journal of Statistics Education, 2011
In this paper we present time series data collected from a cafe run by business students at a Midwestern public university. The data were collected over a ten-week period during the spring semester of 2010. These data can be used in introductory courses to illustrate basic concepts of time series and forecasting, including trend, seasonality, and…
Descriptors: Introductory Courses, Statistical Data, Statistical Analysis, Statistics
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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
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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
Glenn, David – Chronicle of Higher Education, 2007
A pair of economists at the College of William and Mary have devised a new way of comparing colleges' graduation rates--a method, borrowed from business analysis, that they believe is fairer and more useful than the techniques used by "U.S. News & World Report" and the Education Trust. That general technique of regression analysis underlies the…
Descriptors: Graduation Rate, Multiple Regression Analysis, Higher Education, Institutional Evaluation
Morrison, Michael C. – Online Submission, 2008
Successful organizations, both public and private, rely heavily on "word-of-mouth recommendations" for their products and services. Financial viability of any organization depends profoundly on formal and informal networks of customers who pass their assessments of an organization's performance to acquaintances, friends and families.…
Descriptors: Community Colleges, Educational Experience, Administrators, Student Attitudes
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