09
Oct
Assumptions Of One Way Anova. One question that people often want to know the answer to is the extent to which you can trust the results of an ANOVA if the assumptions are violated. The sample is taken from a normally distributed population Each sample is drawn independently. The assumptions of one-way ANOVA are similar to ANOVA with a few exceptions. Normality That each sample is taken from a normally distributed population Sample independence that each sample has been drawn independently of the other samples.
The sample is taken from a normally distributed population Each sample is drawn independently. The one-way ANOVA is considered a robust test against the normality assumption. This means that it tolerates violations to its normality assumption rather well. To use the ANOVA test we made the following assumptions. Normality That each sample is taken from a normally distributed population Sample independence that each sample has been drawn independently of the other samples. The experimental errors of your data are normally distributed 2.
Or to use the technical language how robust is ANOVA to violations of the assumptions.
Each observation is independent of one another. Each observation is independent of one another. Equal Variances The variances of the populations that the samples come from are equal. The sample is taken from a normally distributed population Each sample is drawn independently. Normality homogeneity of variance and independence. Due to deadline constraints I dont have the time to discuss this topic.