We know that,
Using trimmed means confers two advantages:
Disadvantages:-
1. The truncated mean uses more information from the distribution or sample than the median, but unless the underlying distribution is symmetric, the truncated mean of a sample is unlikely to produce an unbiased estimator for either the mean or the median.
2. If we use a trimmed mean in an inferential test (see below), we make inferences about the population trimmed mean, not the population mean.
Thank you.
Get Answers For Free
Most questions answered within 1 hours.