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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Most popular questions from this chapter

7.87 Trading skills of institutional investors. Refer to The Journal of Finance (April 2011) analysis of trading skills of institutional investors, Exercise 7.36 (p. 410). Recall that the study focused on “round-trip” trades, i.e., trades in which the same stock was both bought and sold in the same quarter. In a random sample of 200 round-trip trades made by institutional investors, the sample standard deviation of the rates of return was 8.82%. One property of a consistent performance of institutional investors is a small variance in the rates of return of round-trip trades, say, a standard deviation of less than 10%.

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c. Interpret the value ofαin the words of the problem.

d. A Mini tab printout of the analysis is shown (next column). Locate the test statistic andp-valueon the printout.

e. Give the appropriate conclusion in the words of the problem.

f. What assumptions about the data are required for the inference to be valid?

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A random sample of n observations is selected from a normal population to test the null hypothesis that µ=10.Specify the rejection region for each of the following combinations of \(Ha,\alpha ,\) and n:

a.\(Ha:\)µ\( \ne 10;\alpha = .05.;n = 14\)

b.\(Ha:\)µ\( > 10;\alpha = .01;n = 24\)\(\)

c.\(Ha:\)µ\( > 10;\alpha = .10;n = 9\)

d.\(Ha:\)µ <\(10:\alpha = .01;n = 12\)

e.\(Ha:\)µ\( \ne 10;\alpha = .10;n = 20\)

f. \(Ha:\)µ<\(10;\alpha = .05;n = 4\)

We reject the null hypothesis when the test statistic falls in the rejection region, but we do not accept the null hypothesis when the test statistic does not fall in the rejection region. Why?

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50 910 180 580 7800 4000 390 12100 3400 1300 11900 110

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