MATH 423 Lecture Notes - Lecture 14: Normal Distribution
19 Oct 2018
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Willhave r question but the key is how to interpret . H pit pix eg. fi under the null hypothesis in has a nice properly that to be close to zero it ought. Tobs andif the null hypothesis is false then tobs should the large value either positive or negative tail probability to measure where tbs we use is close to zero or not which is p value tn. Itbsieteitbsdl tprl n r rn ra llfjh. it eerie. This is the probability under null hypothesis whetherobserved statistic is more extreme than 170 value of the test is the probability when a of getting. Otherwords it results which are at least as extreme as what we saw retainho ta ci and reject ho if p value and confidence sets. Equivalent you can construct pi is not in the interval a level hypothesis test.
