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If you test a hypothesis and reject the null hypothesis in favor of the alternative hypothesis, does your test prove that the alternative hypothesis is correct? Explain.

Short Answer

Expert verified

Saying that a test proves the alternative is correct is an inaccurate statement.

Step by step solution

01

Given information 

The null hypothesis is rejected in favor of the alternative hypothesis in a particular test.

02

Explaining the given statement

No, the test does not prove that the alternative hypothesis is correct.

Let us assume that the null and alternative hypotheses are constructed adequately so that rejecting the null hypothesis must logically lend evidence to the alternative hypothesis; we must still keep experimental error in mind. Any testing has some mistakes, and there will always be a probability that the null hypothesis is rejected even though it is true. Thus, saying that a test proves the alternative is correct would be inaccurate.

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7.83 A random sample of n observations is selected from a normal population to test the null hypothesis that σ2=25 . Specify the rejection region for each of the following combinations of Ha,αand n.

a.Ha:σ225;α=0.5;n=16

b. Ha:σ2>25;α=.01;n=23

c. Ha:σ2>25;α=.10;n=15

d. Ha:σ2<25;α=.01;n=13

e. Ha:σ225;α=.10;n=7

f.Ha:σ2<25;α=.05;n=25

For each of the following situations, determine the p-value and make the appropriate conclusion.

a.\({H_0}:\mu \le 25\),\({H_a}:\mu > 25\),\(\alpha = 0.01\),\(z = 2.02\)

b.\({H_0}:\mu \ge 6\),\({H_a}:\mu < 6\),\(\alpha = 0.05\),\(z = - 1.78\)

c.\({H_0}:\mu = 110\),\({H_a}:\mu \ne 110\),\(\alpha = 0.1\),\(z = - 1.93\)

d. \({H_0}:\mu = 10\), \({H_a}:\mu \ne 10\), \(\alpha = 0.05\), \(z = 1.96\)

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