ABSTRACT
Inferential statistics are vital to evaluation of validity, reliability and objectivity and to research. Correlations are a means to measure the strength of relationship between two variables, but not cause and effect. A correlation of 0 means no relationship 1 is perfect. The sign (+/-) of the correlation tells whether both variables are increasing, or one is increasing whilst the other decreases. T-tests, both one-sample (dependent) and two-sample (independent) tell us the probability that two means are different by chance alone. Multiple regression is a powerful tool that combines multiple variables to make predictions. To compare more than two means, requires an ANOVA.
