Which multiple comparison test provide better protection against misses or type II errors? Describe about it.
Which multiple comparison test provide better protection against misses or type II errors? Describe about it.
Here's the explanation is as follows;
The multiple comparisons, occurs when one considers a set of statistical inferences simultaneously or infers a subset of parameters selected based on the observed values. In certain fields it is known as the look-elsewhere effect.
The simplest and most widely used method of multiple comparison testing provide better protection against misses or type II errors is the Bonferroni correction.
Take note that , Bonferroni Correction is also known as Bonferroni type adjustment and it is made for inflated Type I error that is the higher the chance for a false positive; rejecting the null hypothesis when you should not.
When you're conducting multiple analyses on the same dependent variable, the chance of committing a Type I error increases, thus increasing the likelihood of coming about a significant result by pure chance. To correct for this, or protect from Type I error, a Bonferroni correction is conducted.
Note that , It is a conservative test that, although protects from Type I Error, is vulnerable to Type II errors i.e failing to reject the null hypothesis when you should in fact reject the null hypothesis.
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