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Peer reviewedCampbell, Hugh; Ignizio, James P. – Educational and Psychological Measurement, 1972
Predictions using linear programing are less biased by extreme cases and thus offer a more valid estimate of expected student performance than that given by a least squares approach. (Authors/MB)
Descriptors: Academic Achievement, College Entrance Examinations, Comparative Analysis, Linear Programing
The Predictive Efficiency of Achievement and Aptitude Test Data on Seventh Grade Mathematics Scores.
Peer reviewedDossey, John A.; Jones, Marilyn Doran – Illinois School Research and Development, 1980
The computation, concept, and application subtests of the Stanford Achievement Tests (SAT) were administered to a student sample during grades 3, 5, and 7. The efficiency of earlier scores and Otis Lennon Mental Ability Test scores in predicting seventh-grade SAT math scores was examined and found to be weak. (SJL)
Descriptors: Achievement Tests, Aptitude Tests, Computation, Elementary Education
PDF pending restorationSchnittjer, Carl J. – 1972
The purpose of the study was to develop a linear programming model to be used for prediction, test the accuracy of the predictions, and compare the accuracy with that produced by curvilinear multiple regression analysis. (Author)
Descriptors: Comparative Analysis, Educational Administration, Graduate Students, Linear Programing
Peer reviewedSahai, Hardeo; Reesal, Michael R. – School Science and Mathematics, 1992
Illustrates some applications of elementary probability and statistics to epidemiology, the branch of medical science that attempts to discover associations between events, patterns, and the cause of disease in human populations. Uses real-life examples involving cancer's link to smoking and the AIDS virus. (MDH)
Descriptors: Bayesian Statistics, Epidemiology, Integrated Activities, Mathematical Applications
SAW, J.G. – 1964
THIS PAPER DEALS WITH SOME TESTS OF HYPOTHESIS FREQUENTLY ENCOUNTERED IN THE ANALYSIS OF MULTIVARIATE DATA. THE TYPE OF HYPOTHESIS CONSIDERED IS THAT WHICH THE STATISTICIAN CAN ANSWER IN THE NEGATIVE OR AFFIRMATIVE. THE DOOLITTLE METHOD MAKES IT POSSIBLE TO EVALUATE THE DETERMINANT OF A MATRIX OF HIGH ORDER, TO SOLVE A MATRIX EQUATION, OR TO…
Descriptors: Analysis of Variance, Classification, Data Analysis, Hypothesis Testing


