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Refer to Exercise 9.19. Explain what each of the following would mean.

(a) Type I error.

(b) Type II error.

(c) Correct decision.

Now suppose that the results of carrying out the hypothesis test lead to the rejection of the null hypothesis. Classify that conclusion by error type or as a correct decision if in fact the mean length of imprisonment for motor-vehicle-theft offenders in Sydney.

(d) equals the national mean of 16.7 months.

(e) differs from the national mean of 16.7 months.

Short Answer

Expert verified

(a) Rejecting a Null Hypothesis, when it is true.

(b) Rejecting a Null Hypothesis, when H0is false.

(c) If the true null hypothesis is not rejected or a false null hypothesis is rejected.

(d) Correct Decision.

(e) Type II error.

Step by step solution

01

Step 1. Given Information.

The null hypothesis is,

H0:μ=16.7months.

The alternative hypothesis is,

H0:μ≠16.7 months.

02

Part (a). Type I error

According to the definition of the type I error it is to reject a null hypothesis when it is true. A type I error would occur in fact H0:μ=16.7monthstrue, that is the mean length of imprisonment for motor-vehicle-theft offenders in Australia is 16.7months but the result of the sampling lead to conclude that the mean length of imprisonment for motor-vehicle-theft offenders in Australia is less than16.7months.

03

Part (b). Type II error.

According to the definition of the type II error, it is to not reject a null hypothesis when it H0is false. A type II error would occur in fact μ=16.7months is not to be rejected, but the results of the sampling fall to lead to conclude that the mean length of imprisonment for motor-vehicle-theft offenders is in 16.7months.

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Most popular questions from this chapter

In Exercise 8.146 on page 345,we introduced one-sided one mean-t-intervals. The following relationship holds between hypothesis test and confidence intervals for one-mean t-procedures: For a right-tailed hypothesis test at the significance level α, the null hypothesis H0:μ=μ0will be rejected in favor of the alternative hypothesis data-custom-editor="chemistry" Ha:μ>μ0if and only if μ0is less than or equal to the 1-α-level lower confidence bound for μ. In each case, illustrate the preceding relationship by obtaining the appropriate lower confidence bound and comparing the result to the conclusion of the hypothesis test in the specified exercise.

Part (a): Exercise 9.114 (both parts)

Part (b) Exercise9.115

The normal probability curve and stem-to-leaf diagram of the data are shown in figure; σis unknown.

Perform Hypothesis test for mean of the population from which data is obtained and decide whether to use z-test, t-test or neither. Explain your answer.

Refer to Problem 24.The following table provides last year's cheese consumption, in pounds, for 35 randomly selected Americans.

Part (a): At the 10%significance level, do the data provide sufficient evidence to conclude that last year's mean cheese consumption for all Americans has increased over the 2010 mean? Assume that σ=6.9lb. Use a z-test.

Part (b): Given the conclusion in part (a), if an error has been made, what type must it be? Explain your answer.

The normal probability curve and stem-to-leaf diagram of the data are shown in figure; σis unknown.

Perform Hypothesis test for mean of the population from which data is obtained and decide whether to use z-test, t-test or neither. Explain your answer.

Define theP- value of the hypothesis test.

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