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Brigman, S. Leellen; Jacobs, Lucy Cheser – Modern Language Journal, 1981
Reports on an investigation of enrollment of minority groups, primarily Black, in foreign language programs at Indiana University. Provides statistics from 1974 to 1976 comparing enrollment figures for minority and nonminority students and correlates high school scores and college admission measures with participation and success in the study of…
Descriptors: Achievement Rating, Black Students, College Second Language Programs, Higher Education

Wilensky, Uri – Educational Studies in Mathematics, 1997
Presents two case studies of learners attempting to understand the concept of normal distribution, specifically why physical phenomena such as height fall into normal distributions. Draws conclusions about a Connected Mathematics learning environment that enables confrontation with epistemological anxiety and the features of modeling languages…
Descriptors: Learning Problems, Learning Processes, Mathematical Concepts, Mathematical Models

White, Wes – Mathematics Teacher, 2001
Reviews the use of chi-square statistics for goodness of fit. Examines how to help students relate their earlier work with independence to the use of chi-square statistics. (KHR)
Descriptors: Chi Square, Evaluation, Graphing Calculators, Learning Processes

Fleet, Tony – Mathematics in School, 1989
Considers definitions of quantiles. Describes median and quartiles. Compares the usefulness of 3 different definitions of quartile using a computer program to simulate 500 quantiles on a sample of a fixed size. Five references are listed. (YP)
Descriptors: College Mathematics, Computer Simulation, Computer Software, Definitions
Hillerich, Robert L. – Principal, 1990
Defines grade level as an age grouping that yields an achievement distribution approximating a normal curve, with the distribution average at grade level in a typical school. With an average teacher, an average child gains a year. Educators must accept this normal range of reading achievement and adjust instruction to it. Includes eight…
Descriptors: Ability, Age Grade Placement, Elementary Education, Individual Differences

Davis, Gretchen – Mathematics Teacher, 1990
Describes classroom activities and shows that statistics is a practical tool for solving real problems. Presents a histogram, a stem plot, and a box plot to compare data involving class enrollments. (YP)
Descriptors: Data Analysis, Data Interpretation, Graphs, Mathematics

Kane, Michael T.; And Others – Journal of Educational Measurement, 1989
This paper develops a multiplicative model as a means of combining ratings of criticality and frequency of various activities involved in job analyses. The model incorporates adjustments to ensure that effective weights of criticality and frequency are appropriate. An example of the model's use is presented. (TJH)
Descriptors: Critical Incidents Method, Higher Education, Job Analysis, Licensing Examinations (Professions)

Cornwell, John M. – Educational and Psychological Measurement, 1993
A comparison is made of the power and actual alpha levels of three tests of homogeneity for independent product-moment correlation coefficients using Monte Carlo methods while selectively studying sample size and varying the number of correlation reliabilities. How robust these are in applied work is discussed. (SLD)
Descriptors: Comparative Analysis, Correlation, Error of Measurement, Monte Carlo Methods

Lehrer, Richard; Romberg, Thomas – Cognition and Instruction, 1996
Two experiments examined fifth-grade students' reasoning about data modeling: one involved development of hypermedia documents, the other, use of a simple randomization distribution to test students' hypotheses. Found that data construction and analysis provide an opportunity to involve students in the important enterprise of mathematical…
Descriptors: Data Analysis, Elementary Education, Elementary School Students, Grade 5

Penfield, Douglas A. – Journal of Experimental Education, 1994
Type I error rate and power for the t test, Wilcoxon-Mann-Whitney test, van der Waerden Normal Scores, and Welch-Aspin-Satterthwaite (W) test are compared for two simulated independent random samples from nonnormal distributions. Conditions under which the t test and W test are best to use are discussed. (SLD)
Descriptors: Monte Carlo Methods, Nonparametric Statistics, Power (Statistics), Sample Size

Storms, Gert; Delbeke, Luc – Psychometrika, 1992
Y. Takane and J. Sergent developed a model (MAXRT) for scaling same/different judgments and response times (RTs) simultaneously. The adequacy of the assumption that RTs are distributed log-normally is considered, and the effect of a violation of this assumption is investigated via a computer simulation. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Goodness of Fit, Mathematical Models

Harwell, Michael R.; Baker, Frank B. – Applied Psychological Measurement, 1991
Previous work on the mathematical and implementation details of the marginalized maximum likelihood estimation procedure is extended to encompass the marginalized Bayesian procedure for estimating item parameters of R. J. Mislevy (1986) and to communicate this procedure to users of the BILOG computer program. (SLD)
Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Item Response Theory

Becker, Betsy Jane – Journal of Educational Statistics, 1991
The observed probability "p" is the social scientist's primary tool for evaluating the outcome of statistical hypothesis tests. The small-sample accuracy of nonnull asymptotic distributions of several functions of "p" was studied. Implications for use of the approximations are discussed. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing, Mathematical Models

Smith, Richard M. – Educational and Psychological Measurement, 1991
This study reports results of an investigation based on simulated data of the distributional properties of the item fit statistics that are commonly used in the Rasch model calibration programs as indices of the fit of responses to individual items to the measurement model. (SLD)
Descriptors: Computer Simulation, Equations (Mathematics), Goodness of Fit, Item Response Theory

Wilcox, Rand R. – Psychometrika, 1993
Modifications are proposed to the recently developed method of comparing one-step M-estimators of location corresponding to two independent groups that provides good control over the probability of Type I error even for unequal sample size, unequal variances, and different shaped distributions. Simulation results reveal cautions required. (SLD)
Descriptors: Comparative Analysis, Computer Simulation, Equations (Mathematics), Estimation (Mathematics)