Using ANOVA to compare two sample means is equivalent to using a t-test to compare the means of independent samples.įactor (Process Input Variable - PIV, x): A controlled or Where as, ANOVA can compare 3 groups, 15 groups, 25 groups, and more. The t-test are limited to comparing up to just two groups. A statistical difference is found when theĭifference BETWEEN samples is large enough "relative to the difference
ItĪlso computes a lot of other valuable insight that can help steer a Means of several populations are statistically different or equal. Sample variance explains the variation within each sample itself (lookĪt a Box Plot of one data set to graphically comprehend this - the tip Of treatment works differently on a patientĮfficiency is different among various driving surfacesĪNOVA uses two components of va riance and the F test to test the two components:īETWEEN sample variance is a study of the variation among all the samples usually due to process difference or factor changes. Is a difference among machine production rates for same part Salaries are different among those with various types of degrees
Than the mean of other (multiple) groups of data?ĪNALYZE phase of a DMAIC project. Is the mean of at least one group different ANOVA is used to determine if there are differences in the mean in groups of continuous data.