Type II error refers to the acceptance of the null hypothesis in a study when the null hypothesis is actually incorrect
Type I error occurs when the null hypothesis is rejected although it is true
Type III error occurs when the null hypothesis is rejected but the wrong assumptions are used
Random error is defined as errors that occur in experimental measurements secondary to unknown and unpredictable changes in the experimental conditions
Variance error is defined as all sources of variability in an experiment that are not subject to investigation.
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