Fisher's least significant difference (LSD)multiple comparison method is flawed because
A) it will increase $\beta$;the probability of committing a Type II error
B) it will increase $\alpha$;the probability of committing a Type I error
C) it will increase both $\alpha$ and $\beta$,the probabilities of committing Type I and Type II errors,respectively.
D) None of these choices.

Question

Quizplus · Accepted Answer

Fisher's LSD method is known to increase the probability of committing a Type I error or false positive. This is because it does not adjust for multiple comparisons and assumes equal variances across groups, leading to wider confidence intervals and a higher chance of detecting a significant difference by chance.

Fisher's Least Significant Difference (LSD)multiple Comparison Method Is Flawed Because β\betaβ

Fisher's Least Significant Difference (LSD)multiple Comparison Method Is Flawed Because $\beta$