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Technology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Airport Data Speeds Data Set 32 “Airport Data Speeds” in Appendix B includes Sprint data speeds (mbps). The accompanying TI-83/84 Plus display results from using those data to test the claim that they are from a population having a mean less than 4.00 Mbps. Conduct the hypothesis test using these results.

Short Answer

Expert verified

The hypotheses are as follows.

H0:μ4H1:μ<4

The test statistic is 0.366, and the p-value is 0.3579.

The null hypothesis is failed to be rejected, and hence, there is insufficient evidence to support the claim that the population mean is less than 4 Mbps.

Step by step solution

01

Given information

A sample is taken from Airport Data Speeds to test the claim that the population mean is less than 4.00 Mbps.

02

State the hypotheses

The null hypothesis H0represents the population greater than or equal to 4. The original claim does not contain equality. So, it becomes an alternative hypothesis H1.

Thus, the test is one-tailed.

Let μbe the population mean of the internet speed at the airport.

The null and alternate hypotheses are as follows.

H0:μ4H1:μ<4

03

State the test statistic and the p-value 

The test statistic and the p-value are represented by the symbols tand p, respectively.

State the test statistic and p-value obtained fromthe second row andthe third row of the output, respectively, as follows.

t=-0.3662917532-0.366p=0.35786212220.3579

04

State the decision

If the p-value is less than the significance level, the null hypothesis is rejected; otherwise, it is failed to be rejected.

Assume that the significance level is 0.05. The p-value is greater than the significance level.

Thus, the null hypothesis is failed to be rejected at a 0.05 significance level.

05

Conclusion 

Thus, it can be concluded that there is not sufficient evidence to support the claim that the mean data speeds for the population are lesser than 4 Mbps, at a 0.05 level of significance.

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Most popular questions from this chapter

Calculating Power Consider a hypothesis test of the claim that the Ericsson method of gender selection is effective in increasing the likelihood of having a baby girl, so that the claim is p>0.5. Assume that a significance level of α= 0.05 is used, and the sample is a simple random sample of size n = 64.

a. Assuming that the true population proportion is 0.65, find the power of the test, which is the probability of rejecting the null hypothesis when it is false. (Hint: With a 0.05 significance level, the critical value is z = 1.645, so any test statistic in the right tail of the accompanying top graph is in the rejection region where the claim is supported. Find the sample proportion in the top graph, and use it to find the power shown in the bottom graph.)

b. Explain why the green-shaded region of the bottom graph represents the power of the test.

Test Statistics. In Exercises 13–16, refer to the exercise identified and find the value of the test statistic. (Refer to Table 8-2 on page 362 to select the correct expression for evaluating the test statistic.)

Exercise 7 “Pulse Rates”

Finding Critical t Values When finding critical values, we often need significance levels other than those available in Table A-3. Some computer programs approximate critical t values by calculating t=df×eA2/df-1where df = n-1, e = 2.718, A=z8×df+3/8×df+1, and z is the critical z score. Use this approximation to find the critical t score for Exercise 12 “Tornadoes,” using a significance level of 0.05. Compare the results to the critical t score of 1.648 found from technology. Does this approximation appear to work reasonably well?

Technology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Body Temperatures Data Set 3 “Body Temperatures” in Appendix B includes 93 body temperatures measured at 12 ²³ on day 1 of a study, and the accompanying XLSTAT display results from using those data to test the claim that the mean body temperature is equal to 98.6°F. Conduct the hypothesis test using these results.

Technology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim.

Old Faithful Data Set 23 “Old Faithful” in Appendix B includes data from 250 random eruptions of the Old Faithful geyser. The National Park Service makes predictions of times to the next eruption, and the data set includes the errors (minutes) in those predictions. The accompanying Statdisk display results from using the prediction errors (minutes) to test the claim that the mean prediction error is equal to zero. Comment on the accuracy of the predictions.

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