A t-test is designed to test a null hypothesis by determining if two sets of data are significantly different from one another, while a chi-squared test tests the null hypothesis by finding out if there is a relationship... More »

A basic hypothesis test measures the outcome of a probability function or equation for the validity of an expected or returned result. Typically, a basic hypothesis test uses accumulated data points as the basis for reje... More »

Chi-square is a statistical test that detects whether an observed set of sample results are obtained by mere chance, or whether something other than chance is causing the data to vary. If the observed results sufficientl... More »

A parametric test is used on parametric data, while non-parametric data is examined with a non-parametric test. Parametric data is data that clusters around a particular point, with fewer outliers as the distance from th... More »

A scatter plot is a mathematical diagram showing the relationship between two sets of data. Individual points are positioned according to the variables assigned to the vertical and horizontal axis. More »

The T-test is a statistical test that measures the significance of the difference between the means in two sets of data in relation to the variance of the data. More »

Statistical significance shows the mathematical probability that a relationship between two or more variables exists, while practical significance refers to relationships between variables with real-world applications, a... More »