Advocates a simplified procedure for assessing the validity of experimental data. Suggests using the range of the results of a limited number of repeated measurements to obtain confidence limits about the probable over-all average of repeating the same procedure a great many times. Bibliography. (LC)

A computer program that allows students to simulate an experiment in probability is given, with specific suggestions on how to use and study the program. (MNS)

A way of presenting the Poisson process and deriving the Poisson distribution for upper-division courses in probability or mathematical statistics is presented. The main feature of the approach lies in the formulation of Poisson postulates with immediate intuitive appeal. (MNS)

Tables are presented giving the critical values of the biserial and the point biserial correlation coefficients (when the null hypothesis assumes a value of zero for the coefficient) at the 0.05 and the 0.01 levels of significance. (Author)

Though the Paired-Item-Score (Eakin and Long) (EJ 174 780) method of scoring true-false tests has certain advantages over the traditional scoring methods (percentage right and right minus wrong), these advantages are attained at the cost of a larger risk of misranking the examinees. (Author/BW)

The classical estimate of a binomial probability function is to estimate its mean in the usual manner and to substitute the results in the appropriate expression. Two alternative estimation procedures are described and examined. Emphasis is given to the single administration estimate of the mastery test reliability. (Author/CTM)

A model for comparing risks to resources with exposures to hazards is described and then applied to the physical educator. (JMF)

Examples are given of problems which can be solved pictorially, thus aiding in the general development of geometric intuition and in developing some of the basic ideas of probability. (MP)

Replies to Stephen E. Robinson's article on the role of fuzzy set theory in information science (Journal of the American Society for Information Science; v29 n6 Nov 1978), particularly with regard to Robinson's discussions of uncertainty, min/max connectives, and relevance. (FM)

Responds to Barbara A. Cerny's reaction to Robinson's article on the role of fuzzy set theory in information science, addressing Cerny's points about probability theory and statistical uncertainty. (FM)