Beverly Hills, Calif. : Sage Publications, c1976
92 p. : graphs ; 22 cm
"A Sage university paper."
Bibliography, etc. Note
Bibliography: p. 92
Formatted Contents Note
Overview Statistics Common sense perspective on statistics Formal criteria Conceptual framework Populations, parameters, samples, and statistics Probability Sampling distributions Sampling Common theoretical distributions Using probability distributions Logic of hypothesis testing Tests of significance Comparing whole distributions-goodness of fit Central tendency Two sample tests K-sample test Existence of a relationship Regression and correlation Other tests of significance Confidence intervals The interpretation of significance tests Questions of the utility of tests of significance Technical issues Philosophy of science issues Other interpretations Arguments for tests of significance
Quantitative applications in the social sciences ; no. 07-004