Non-parametric refers to a type of statistical analysis that does not make any assumptions about the underlying probability distribution or population parameters of the data being analyzed. In ...

Hypothesis testing involves discerning the effect of one factor on another by exploring the relationship's statistical significance. Hypothesis testing in business examples might include a ...

Chi-squared tests are proposed for testing goodness of fit when the data may or may not be subject to random censoring. Both the simple and compositive null hypotheses are considered. For the simple ...

Several widely used tests for outlying observations are reviewed. Problems of repeated application and "masking" are described. Suggested as appropriate to overcome these problems are two new ...