When comparing k normal populations an investigator might want to know the probability that the population with the largest population mean will have the largest sample mean. This paper describes and illustrates methods of approximating this probability when the variances are unknown and possibly unequal. (Author/BW)

The problem of testing two correlated proportions with incomplete data is considered by means of Monte Carlo simulations studies. A test proposed in this paper, which can be regarded as a generalization of McNemar's test, is recommended in all cases with incomplete data and not too small samples. (Author)

The paper obtains a maximum likelihood criterion test for multisample sphericity. The test contains Mauchly's sphericity test as a special case. (Author)

Contrary to the deterministic nature of the adipocyte- number hypothesis, correlations between adiposity data recorded during infancy and data recorded during the school- age period or later are very low. There is no convincing evidence the obese infant has more than a slight tendency to become an obese adult. (Author/MP)

Extensions of the Kruskal-Wallis procedure for a factorial design are examined under various degrees and kinds of nonnullity. It was found that the distributions of these test statistics are a function of effects other than those being tested, except under the completely null situation. Their use is discouraged. (Author/JKS)

A recent paper by Wainer and Thissen has renewed the interest in Gini's mean difference, G, by pointing out its robust characteristics. This note presents distribution-free asymptotic confidence intervals for its population value in the one sample case and for difference in the two sample situations. (Author/JKS)

A procedure is discussed for testing the significance of the difference in two correlated correlation coefficients, using Fisher's Z-Transformation. The procedure is applicable to a wide range of problems involving tests between dependent correlations and has documented mathematical support when its power curves are examined. (MH)

Attempts to differentiate the serial habituation hypothesis from the regression to the mean hypothesis as explanations for the reduction of visual fixations in the form perception of four-month-old infants. Results support a regression to the mean interpretation of the data. (JMB)

A flexible Fortran program for computing one way analysis of variance is described. Requiring minimal core space, the program provides a variety of useful group statistics, all summary statistics for the analysis, and all mean comparisons for a priori or a posteriori testing. (Author/JKS)

A flexible Fortran program for computing a complete analysis of covariance is described. Requiring minimal core space, the program provides all group and overall summary statistics for the analysis, a test of homogeneity of regression, and all posttest mean comparisons for a priori or a posteriori testing. (Author/JKS)