slide6 - Hypothesis Tests on the Mean H0: = 0 H1: 0 Reject...

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1 Hypothesis Tests on the Mean ± H 0 : µ = µ 0 ± H 1 : µ≠µ 0 n X Z 0 0 σ µ = 2 / 0 2 / 0 2 / 0 2 / 0 0 z Z z if H reject to Fail z Z or z Z if H Reject α < > 2 Hypothesis Tests (one side) ± H 0 : µ = µ 0 ± H 1 : µ > µ 0 ± H 0 : µ = µ 0 ± H 1 : µ < µ 0 z Z if H Reject 0 0 > z Z if H Reject 0 0 <
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3 Example: two-sided test ± Suppose Guido takes a random sample of n =25 and obtains an average burn rate of 51.3 cm/s. ± Specs require that burn rate must be 50 cm/s, and the standard deviation is known to be 2 cm/s. ± He decides to specify a type I error probability (significance level) of 0.05. ± What conclusions can be drawn? 4 P-value ± The P-value is the smallest level of significance that would lead to rejection of the null hypothesis H0 with the given data. < = > = = = 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 : H : H : test for ) z ( : H : H : test for ) z ( 1 : H : H : test for |)] z (| 1 [ 2 P µ Φ
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5 Probability of Type II Error ± The probability of the type II error is the probability that Z 0 falls between -z α /2 and z α /2 given that H 1 is true.
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This note was uploaded on 05/05/2008 for the course IE 121 taught by Professor Perevalov during the Spring '08 term at Lehigh University .

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slide6 - Hypothesis Tests on the Mean H0: = 0 H1: 0 Reject...

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