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Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Ground vs. Helicopter for Serious Injuries A study investigated rates of fatalities among patients with serious traumatic injuries. Among 61,909 patients transported by helicopter, 7813 died. Among 161,566 patients transported by ground services, 17,775 died (based on data from “Association Between Helicopter vs Ground Emergency Medical Services and Survival for Adults With Major Trauma,” by Galvagno et al., Journal of the American Medical Association, Vol. 307, No. 15). Use a 0.01 significance level to test the claim that the rate of fatalities is higher for patients transported by helicopter.

a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

c. Considering the test results and the actual sample rates, is one mode of transportation better than the other? Are there other important factors to consider?

Short Answer

Expert verified

a. There is sufficient evidence to support the claimthat the rate of fatalities is higher for patients transported by helicopter than for patients transported by ground services.

b. The 98% confidence interval is equal to (0.0126, 0.0198), and it suggests thatthe rate of fatalities is higher for patients transported by helicopter than for patients transported by ground services.

c. Considering the test results and actual sample rates, it appears that the ground services are a better mode than the helicopter.

Factors such as the severity of the injury, approachability of proper medical facilities, and type of first-aid should also be considered.

Step by step solution

01

Given information

In a sample of 61,909 patients transported by helicopter, 7813 died.

In another sample of 161,566 patients transported by ground services, 17,775 died.

It is claimed that the proportion of fatalities is higher for the patients transported by helicopter as compared to the patients transported by ground services.

02

Describe the hypotheses

Null hypothesis:The rate of fatalities is the same for the patients transported by helicopter and patients transported by ground services.

H0:p1=p2

Alternate hypothesis: The rate of fatalities is higher for the patients transported by helicopter than for the patients transported by ground services.

H1:p1>p2

03

Calculate the sample statistics

Let n1be the sample size of patients transported by helicopter.

n1=61909

Let n2be the sample size of patients transported by ground services.

n2=161566

Assume that, x1and x2are the number of patients who died and were transported by helicopter and ground services respectively.

Letp^1 be the samplerate offatalities for patients transported by helicopter.

Thus,

p^1=x1n1=781361909=0.1262

q^1=1-p^1=0.8738

Let p^2be the sample rate of fatalities for patients transported by ground services.

Thus,

p^2=x2n2=17775161566=0.11002

q^2=1-p^2=0.88998

The value of the pooled sample proportion is equal to:

p¯=x1+x2n1+n2=7813+1777561909+161566=0.1145

Hence,

q¯=1-p¯=1-0.1145=0.8855

04

Compute the value of the test statistic

The test statistic is equal to:

z=p^1-p^2-p1-p2p¯q¯n1+p¯q¯n2=0.1262-0.11002-00.11450.885561909+0.11450.8855161566=10.7532

Referring to the standard normal distribution table, the critical value of z corresponding to α=0.01for a right-tailed test is equal to 2.33.

The p-value of the z-score equal to 10.7532 is equal to 0.000.

05

Conclusion

a.

Since the p-value is less than 0.01 and the test statistic value is greater than the critical value, the null hypothesis is rejected.

There is sufficient evidence to support the claimthat the rate of fatalities is higher for patients transported by helicopter than for patients transported by ground services.

06

Describe the confidence interval

If the level of significance for a one-tailed test is equal to 0.01, then the corresponding confidence level to construct the confidence interval is equal to 98%.

The expression of the confidence interval is as follows:

p^1-p^2-E<p1-p2<p^1-p^2+E

07

Calculate the margin of error

The value of zα2when α=0.02is equal to 2.33.

E is margin of error and has the following formula:

E=zα2p^1q^1n1+p^2q^2n2=2.33×0.12620.873861909+0.110.89161566=0.0036

08

Construct the confidence interval.

b.

Substituting the required values, the following confidence interval is obtained:

p^1-p^2-E<p1-p2<p^1-p^2+E(0.1262-0.11002)-0.0036<p1-p2<(0.1262-0.11002)+0.00360.0126<p1-p2<0.0198

Thus, the 98% confidence interval is equal to (0.0126, 0.0198).

This confidence interval does not contain zero. This implies means there is a significant difference between the two population proportions.

Therefore, there is sufficient evidence to support the claimthatthe rate of fatalities is higher for patients transported by helicopter than for patients transported by ground services.

09

Compare the proportions

c.

The sample proportion of fatalities for patients transported by helicopter is approximately equal to 12.62%, and the sample proportion of fatalities for patients transported by ground services is approximately equal to 11.00%.

Hence, considering the test results and actual sample rates, it appears that ground services are a better mode of transportation than a helicopter.

Also, there are many important factors to consider, like the distance between health facilities and where the injury has happened.

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Most popular questions from this chapter

Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

Overlap of Confidence Intervals In the article “On Judging the Significance of Differences by Examining the Overlap Between Confidence Intervals,” by Schenker and Gentleman (American Statistician, Vol. 55, No. 3), the authors consider sample data in this statement: “Independent simple random samples, each of size 200, have been drawn, and 112 people in the first sample have the attribute, whereas 88 people in the second sample have the attribute.”

a. Use the methods of this section to construct a 95% confidence interval estimate of the difference p1-p2. What does the result suggest about the equality of p1andp2?

b. Use the methods of Section 7-1 to construct individual 95% confidence interval estimates for each of the two population proportions. After comparing the overlap between the two confidence intervals, what do you conclude about the equality ofp1andp2?

c. Use a 0.05 significance level to test the claim that the two population proportions are equal. What do you conclude?

d. Based on the preceding results, what should you conclude about the equality ofp1andp2? Which of the three preceding methods is least effective in testing for the equality ofp1andp2?

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Testing Claims About Proportions. In Exercises 7–22, test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, P-value or critical value(s), then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim.

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a. Test the claim using a hypothesis test.

b. Test the claim by constructing an appropriate confidence interval.

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Hypothesis Tests and Confidence Intervals for Hemoglobin

a. Exercise 2 includes a confidence interval. If you use the P-value method or the critical value method from Part 1 of this section to test the claim that women and men have the same mean hemoglobin levels, will the hypothesis tests and the confidence interval result in the same conclusion?

b. In general, if you conduct a hypothesis test using the methods of Part 1 of this section, will the P-value method, the critical value method, and the confidence interval method result in the same conclusion?

c. Assume that you want to use a 0.01 significance level to test the claim that the mean haemoglobin level in women is lessthan the mean hemoglobin level in men. What confidence level should be used if you want to test that claim using a confidence interval?

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