One-way Analysis of Variance (ANOVA): Testing Statistically whether 3+ Groups are Different

This RUclips video presentation explains how to test statistically for differences between 3 or more groups using One-way Analysis of Variance (ANOVA).
It outlines what is meant by hypothesis testing and how hypotheses can be worded when using ANOVA. Next it considers the components of an ANOVA, namely the F statistic, the degrees of freedom (within group and between group) and the probability of the test statistic or one more extreme occurring bu chance (p value).
The application of 1-way ANOVA is illustrated using an example drawn from SME risk taking. First the data matrix is explained including how ANOVA uses quantitative and categorical data. Next the assumptions of the test are outlined, including when these can be relaxed. The test statistic and its interpretation is then explained, including how to report this in a project report or dissertation or thesis.
Further reading is outlined.