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Awful accidents Slow response times by paramedics, firefighters, and policemen can have serious consequences for accident victims. In the case of life-threatening injuries, victims generally need medical attention within 8minutes of the accident. Several cities have begun to monitor emergency response times. In one such city, emergency personnel took more than 8minutes to arrive on 22%of all calls involving life-threatening injuries last year. The city manager shares this information and encourages these first responders to “do better.” After 6months, the city manager selects an SRS of 400 calls involving life- threatening injuries and examines the response times. She then performs a test at the α=0.05level of H0: p=0.22versus Ha:p<0.22, where pis the true proportion of calls involving life-threatening injuries during this 6-month period for which emergency personnel took more than 8minutes to arrive.

a. Describe a Type I error and a Type II error in this setting.

b. Which type of error is more serious in this case? Justify your answer.

c. Based on your answer to part (b), do you agree with the manager’s choice of α=0.05? Why or why not?

Short Answer

Expert verified

a. Type I error is rejecting null hypothesis H0, once H0is true and Type II error fail to reject null hypothesis when H0is false.

b. In this case, type II error is more serious.

c. It is better to useα=0.05.

Step by step solution

01

Given Information

It is given that H0:p=0.22

H1:p<0.22

02

Explaining type I and type II error

Type I error:Enough convincing evidence is present that correct proportion of calls involves life threatening injuries in case personnel takes more than 8minutes to arrive is <0.22when correct proportion of calls involves life threatening injuries in case personnel takes more than 8minutes to arrive is actually 0.22

Type II error: No convincing evidence is present that correct proportion of calls involves life threatening injuries in case personnel takes more than 8minutes to arrive is less than 0.22when correct proportion of calls involves life threatening injuries in case personnel takes more than 8minutes to arrive is actually over0.22

03

More serious type of error

Comparison given type I error is worse as it leads to underestimating the time it takes for personal to come and it results in death of people.

04

Use of significance level

Since type I error is worse,.

Hence, it is better to use α=0.01instead of0.05

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Most popular questions from this chapter

Restaurant power Refer to Exercise 86 Determine if each of the following changes would increase or decrease the power of the test. Explain your answers.

a. Use a random sample of 30 people instead of 50 people.

b. Try to detect that μ=\(85,500 instead of μ=\)86,000

c. Change the significance level to α=0.10

Fast connection? How long does it take for a chunk of information to travel

from one server to another and back on the Internet? According to the site

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a. State an appropriate pair of hypotheses for a significance test in this setting. Be sure to define the parameter of interest.

b. Check conditions for performing the test in part (a).

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d. Do we have convincing evidence that the mean response time of servers in the United States is different from 200 milliseconds? Justify your answer.

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a. Explain why the sample result gives some evidence for the alternative hypothesis.

b. Calculate the standardized test statistic and P-value.

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According to the Bureau of Labor Statistics, the average age of American workers is 41.9years. The manager of a large technology company believes that the company’s employees tend to be younger, on average. So she takes a random sample of 12 employees and records their ages.

Here are the data:

27 38 32 24 30 47 42 38 27 43 37 33

a. State appropriate hypotheses for testing the manager’s belief. Be sure to define the parameter of interest.

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Members of the city council want to know if a majority of city residents supports a 1%increase in the sales tax to fund road repairs. To investigate, they survey a random sample of 300city residents and use the results to test the following hypotheses:

H0:p=0.50

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where pis the proportion of all city residents who support a 1% increase in the sales tax to fund road repairs.

A Type I error in the context of this study occurs if the city council

a. finds convincing evidence that a majority of residents supports the tax increase, when in reality there isn’t convincing evidence that a majority supports the increase.

b. finds convincing evidence that a majority of residents supports the tax increase, when in reality at most 50%of city residents support the increase.

c. finds convincing evidence that a majority of residents supports the tax increase, when in reality more than 50%of city residents do support the increase.

d. does not find convincing evidence that a majority of residents supports the tax increase, when in reality more than 50%of city residents do support the increase.

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