You are not currently logged in.
Access your personal account or get JSTOR access through your library or other institution:
Modified t Tests and Confidence Intervals for Asymmetrical Populations
Norman J. Johnson
Journal of the American Statistical Association
Vol. 73, No. 363 (Sep., 1978), pp. 536-544
Stable URL: http://www.jstor.org/stable/2286597
Page Count: 9
Preview not available
This article considers a procedure that reduces the effect of population skewness on the distribution of the t variable so that tests about the mean can be more correctly computed. A modification of the t variable is obtained that is useful for distributions with skewness as severe as that of the exponential distribution. The procedure is generalized and applied to the jackknife t variable for a class of statistics with moments similar to those of the sample mean. Tests of the correlation coefficient obtained using this procedure are compared empirically with corresponding tests determined using Fisher's z transformation and the usual jackknife estimate.
Journal of the American Statistical Association © 1978 American Statistical Association