Chapter 9: Q20E (page 530)
Prove Theorem 9.1.3
Short Answer
This follows by determining the possible set of values of g0 for which the null is not rejected on observing X = x.
Chapter 9: Q20E (page 530)
Prove Theorem 9.1.3
This follows by determining the possible set of values of g0 for which the null is not rejected on observing X = x.
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Get started for free2. Suppose that a random variable X has the F distribution with three and eight degrees of freedom. Determine the value of c such that Pr(X>c) = 0.975
Suppose that X1,….., Xn forms a random sample from the normal distribution with unknown mean µ and unknown variance σ2. Classify each of the following hypotheses as either simple or composite:
a) H0 : µ = 0 and σ=1
b) H0 : µ > 3 and σ<1
c) H0 : µ = -2 and σ2<5
d) H0 : µ = 0
Suppose that the 12 observations \({X_1},....,{X_{12}}\)form a random sample from the normal distribution with unknown mean \(\mu \)and unknown variance\({\sigma ^2}\). Describe how to carry out a \(t\)test of the following hypotheses at the level of significance\({\alpha _0} = 0.005\):
\(\begin{array}{l}{H_0}:\;\;\;\mu \ge 3 \\{H_1}:\;\;\;\mu < 3\end{array}\)
Suppose that the proportion p of defective items in a large, manufactured lot is unknown, and it is desired to test the following simple hypotheses:
H0: p = 0.3,
H1: p = 0.4.
Suppose that the prior probability that p=0.3 is 1/4, and the prior probability that p = 0.4 is 3/4; also suppose that the loss from choosing an incorrect decision is 1 unit, and the loss from choosing a correct decision is 0. Suppose that a random sample of n items is selected from the lot. Show that the Bayes test procedure is to reject H0 if and only if the proportion of defective items in the sample is greater than
\begin{aligned}log\frac{7}{6}+\frac{1}{n}log\frac{1}{3}-log\frac{9}{14}\end{aligned}
1. Consider again the situation described in Exercise 11 of Sec. 9.6. Test the null hypothesis that the variance of the fusion time for subjects who saw a picture of the object is no smaller than the variance for subjects who did see a picture. The alternative hypothesis is that the variance for subjects who saw a picture is smaller than the variance for subjects who did not see a picture. Use a level of significance of 0.05.
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