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
Summary
An elementary introduction to significance testing, this paper provides a conceptual and logical basis for the understanding of significance tests
Analysis
Statistical analysis Significance Testing For social sciences
