Refer to Exercise 9.16. 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 lactation period of grey seals.

(d) equals 23 days.

(e) differs from 23 days.

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) Type I Error.

(e) Type II Error.

Step by step solution

01

Step 1. Given Information.

The Null Hypothesis is,

H0:μ=23.

The Alternative Hypothesis is,

H0:μ23.

02

Part (a). Type I error.

This is the error committed to rejecting a null hypothesis H0when it is true.

The conclusion is that the mean location period of grey seals differs from 23days but in reality, the mean location period of grey seals does not differ from23days.

03

Part (b). Type II error.

This is the error committed to accepting a null hypothesis H0when it is false.

The conclusion is that the mean location period of grey seals does not differ from 23days but in reality, the mean location period of grey seals differs from 23days.

04

Part (c). Correct Decision.

The following are the two ways of making the correct decision:

  1. If H0is true, then do not reject H0.
  2. If H0is false, then reject H0.

If the mean location period of grey seals does not differs from 23days, μ=23days, then the null hypothesis is not rejected.

If the mean location period of grey seals differs from23days,μ23days, then the null hypothesis is rejected.

05

Part (d). Equals 23 days.

In this situation, a Type I error is committed.

The null hypothesis is not rejected because the mean location period of grey seals equals to 23days since the mean location period of grey seals equals to 23days.

06

Part (e). Differs 23 days.

In this situation, a Type II error is committed.

The null hypothesis is rejected because the mean location period of grey seals is not equals to 23days since the mean location period of grey seals differs from23 days.

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Most popular questions from this chapter

Beef Consumption. According to Food Consumption, Prices,\and Expenditures, published by the U.S. Department of Agriculture. the mean consumption of beef per person in 2011 was 57.5 lb. A sample of 40 people taken this year yielded the data, in pounds, on last year's beef consumption given on the Weiss Stats site. Use the technology of your choice to do the following.

a. Obtain a normal probability plot, a boxplot, a histogram, and a stem-and-leaf diagram of the data on beef consumptions.

b. Decide, at the 5% significance level, whether last year's mean beef consumption is less than the 2011 mean of 57.5 lb. Apply the one mean t-test.

c. The sample data contain four potential outliers: 0, 0, 0, and 13.Remove those four observations, repeat the hypothesis test in part (b), and compare your result with that obtained in part (b).

d. Assuming that the four potential outliers are not recording errors, comment on the advisability of removing them from the sample data before performing the hypothesis test.

e. What action would you take regarding this hypothesis test?

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

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.

As we mentioned on page 378, the following relationship holds between hypothesis test and confidence intervals for one-mean z-procedures: For a two-tailed hypothesis test at the significance level α, the null hypothesis role="math" localid="1653038937481" H0:μ=μ0will be rejected in favor of the alternative hypothesis Ha:μμ0if and only if μ0lies outside the 1-α-level confidence interval for μ. In each case, illustrate the preceding relationship by obtaining the appropriate one-mean z-interval and comparing the result to the conclusion of the hypothesis test in the specified exercise.

Part (a): Exercise 9.84

Part (b): Exercise9.87

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

Part (a): Exercise 9.117

Part (b): Exercise 9.118

Refer to Exercise 9.15. 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 nonrejection of the null hypothesis. Classify that conclusion by error type or as a correct decision if in fact the mean cadmium level in Boletus Pinicolamushrooms.

(d) equals the safety limit of 0.5ppm.

(e) exceeds the safety limit of0.5ppm.

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