We wish to test the hypotheses HO: u 80 versus H1: H# 80 at a 14% level of significance. Here u denotes the average score X on a standardized test for students who have taken a preparation course for...


We wish to test the hypotheses HO: u<br>80 versus H1: H# 80 at a 14% level of<br>significance. Here u denotes the average score X on a standardized test for<br>students who have taken a preparation course for the exam. These hypotheses<br>will be tested by obtaining a random sample of 600 student scores. If TS denotes<br>(x-80)<br>the test statistic<br>where s is the sample standard deviation of the 600<br>V600<br>student scores, then the rejection rule may be stated as:<br>Reject<br>u = 80, if TS> 1.75 or TS <-1.75<br>O Reject u = 80, if TS > 1.96<br>O Reject u 80, if TS > 1.75 or TS <-1.75<br>Reject u<br>= 80, if TS > 1.48 or TS <-1.48<br>Reject u + 80, if TS > 1.48 or TS < -1.48<br>

Extracted text: We wish to test the hypotheses HO: u 80 versus H1: H# 80 at a 14% level of significance. Here u denotes the average score X on a standardized test for students who have taken a preparation course for the exam. These hypotheses will be tested by obtaining a random sample of 600 student scores. If TS denotes (x-80) the test statistic where s is the sample standard deviation of the 600 V600 student scores, then the rejection rule may be stated as: Reject u = 80, if TS> 1.75 or TS <-1.75 o="" reject="" u="80," if="" ts=""> 1.96 O Reject u 80, if TS > 1.75 or TS <-1.75 reject="" u="80," if="" ts=""> 1.48 or TS <-1.48 reject="" u="" +="" 80,="" if="" ts=""> 1.48 or TS <>

Jun 03, 2022
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