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Gradstein, Mark – Journal of Educational Statistics, 1986
The purpose of this paper is to calculate the upper limit of the correlation between normal and dichotomous variables. An empirically obtained correlation should be evaluated in view of this limit, instead of the usual limit of Pearson correlation. (Author)
Descriptors: Correlation, Equations (Mathematics), Predictor Variables, Probability

Beck, Kenneth H. – Social Behavior and Personality, 1984
Investigated the effects of different types of risk information in a simulated decision-making task to test the predictions of protection motivation theory. College students (N=226) completed the task. Results showed outcome severity, efficacy of protection, and access to protection were related to protective decisions. (BH)
Descriptors: College Students, Decision Making, Higher Education, Probability

Lindsay, John S. B. – Human Relations, 1976
The fact that a group may subdivide into smaller subgroups is examined in the light of probability theory. (Author)
Descriptors: Group Dynamics, Group Structure, Organization Size (Groups), Probability
Ogborn, Jon – Mathematics Teaching, 1974
The characteristic shape of the normal distribution, one hump and two tails, is discussed. The reasoning is based on variation, combinations, probability, and logarithms. The purpose is to be able to answer some of the "whys" students might ask. (LS)
Descriptors: Calculus, College Mathematics, Instruction, Mathematics

Gani, J. – Mathematical Spectrum, 1971
Descriptors: Graphs, Mathematics, Mathematics History, Probability

Bedford, Crayton W. – Mathematics Teacher, 1972
The Wilcoxon two-sample test used to examine judge bias. (MM)
Descriptors: Bias, Mathematics, Probability, Statistical Analysis

Iacobacci, Rora – Mathematics Teacher, 1972
Descriptors: Calculus, College Mathematics, Instruction, Mathematical Applications

Wolter, David G.; Earl, Robert W. – Psychometrika, 1972
Descriptors: Bayesian Statistics, Learning, Mathematical Models, Probability

Johnson, Edgar M. – Psychometrika, 1972
A computational short cut suggested by Feldman and Klinger for the one-sided Fisher-Yates exact test is clarified and is extended to the calculation of probability values for certain two-sided tests when sample sizes are unequal. (Author)
Descriptors: Computation, Expectancy Tables, Mathematical Applications, Probability

Iversen, Gudmund R.; And Others – Psychometrika, 1971
Descriptors: Expectation, Game Theory, Mathematics, Probability

Smith, Robert A. – Psychometrika, 1971
Descriptors: Data Analysis, Data Collection, Groups, Probability

Geisser, Seymour; Kappenman, Russell F. – Psychometrika, 1971
Descriptors: Bayesian Statistics, Mathematics, Probability, Profiles

Parker, Randall M. – Educational and Psychological Measurement, 1971
Descriptors: Analysis of Variance, Computer Programs, Probability, Statistical Significance

Anderson, Edwin L. – Educational and Psychological Measurement, 1971
Descriptors: Computer Programs, Expectation, Mathematics, Probability

Ollendick, Thomas – Journal of Abnormal Psychology, 1971
Descriptors: Expectation, Handicapped Children, Learning Processes, Mental Retardation