STAT368 Lecture Notes - Order Statistic, Minitab, Confidence Interval
5 Apr 2014
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Document Summary
The following treatment seems general enough to cover the cases of prac- tical interest. Any -ratio can be written in the form where is a quantity to be estimated (e. g. 1 (e. g. 1 (e. g. r 1. 2), is an estimate of ( ) is an estimate of the standard deviation of . 2 of on the horizontal axis which each have the probability of the -distribution lying beyond them, we have. Thus, before we take the sample, we know that the random interval. 2 will, with probability 1 of culated numerically, we call con dence interval. After the sample is taken, and ( )i ( ) + 2 . , contain the true value ( ) cal- a 100 (1. In the mortar example, the di erence in averages. 17 922 = 1 158; then from was = 16 764 the computer output, There were 18 d. f. , and so for a 95% interval we.
