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Weather-Related Deaths Review Exercise 5 involved weather-related U.S. deaths. Among the 450 deaths included in that exercise, 320 are males. Use a 0.05 significance level to test the claim that among those who die in weather-related deaths, the percentage of males is equal to 50%. Provide an explanation for the results.

Short Answer

Expert verified

There is enough evidence to warrant rejection of the claim that the percentage of male deaths out of the given sample ofweather-related deaths is equal to 50%.

It can be said that a comparatively greater number of males participate in outdoor activities like golfing, fishing and surfing during May, June and July. Thus, their proportion is greater than 0.5.

Step by step solution

01

Given information

It is given that out of 450 weather-related deaths, 320 were males.

02

Hypotheses

Letp is the population proportion of males who died.

The null hypothesis is as follows:

The proportion of male deaths is equal to 0.50.

Symbolically,

\({H_o}:p = 0.50\)

The alternative hypothesis is as follows:

The proportion of male deaths is not equal to 0.50.

Symbolically,

\({H_o}:p \ne 0.50\)

It is a two-tailed test.

03

Test statistic

Let\(\hat p\)denote the sample proportion of male deaths.

The value of\(\hat p\)is computed as shown below:

\(\begin{aligned}{c}\hat p = \frac{{{\rm{Number}}\;{\rm{of}}\;{\rm{male}}\;{\rm{deaths}}}}{{{\rm{Total}}\;{\rm{number}}\;{\rm{of}}\;{\rm{deaths}}}}\\ = \frac{{320}}{{450}}\\ = 0.711\end{aligned}\)

Here, p = 0.50.

Thus,

\[\begin{aligned}{c}q = 1 - p\\ = 1 - 0.50\\ = 0.50\end{aligned}\]

Since the sample size (n) equal to 450 is large, the value of the z-score is computed as follows:

\[\begin{aligned}{c}z = \frac{{\hat p - p}}{{\sqrt {\frac{{pq}}{n}} }}\;\;\; \sim N\left( {0,1} \right)\\ = \frac{{0.711 - 0.50}}{{\sqrt {\frac{{\left( {0.50} \right)\left( {0.50} \right)}}{{450}}} }}\\ = 8.957\end{aligned}\]

Thus, the test statistic, z is 8.957.

04

Obtain the critical value and the p-value

Refer to the standard normal table,

The critical value of z at 0.05 level of significance for a two-tailed test is equal to 1.96.

The corresponding p-value obtained using the test statistic is equal to 0.000.

05

Decision and conclusion of the test

Since the absolute value of the z-score is greater than the critical value and the p-value is less than 0.05, the null hypothesis is rejected.

There is enough evidence to conclude that the percentage of male deaths out of the given sample ofweather-related deaths is not equal to 50%.

06

Possible explanation for the results

It can be said that a comparatively greater number of males participate in outdoor activities like golfing, fishing and surfing during the months of May, June and July. Thus, their proportion is greater than 0.5.

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Most popular questions from this chapter

Equivalent Tests A\({\chi ^2}\)test involving a 2\( \times \)2 table is equivalent to the test for the differencebetween two proportions, as described in Section 9-1. Using the claim and table inExercise 9 โ€œFour Quarters the Same as $1?โ€ verify that the\({\chi ^2}\)test statistic and the zteststatistic (found from the test of equality of two proportions) are related as follows:\({z^2}\)=\({\chi ^2}\).

Also show that the critical values have that same relationship.

Benfordโ€™s Law. According to Benfordโ€™s law, a variety of different data sets include numbers with leading (first) digits that follow the distribution shown in the table below. In Exercises 21โ€“24, test for goodness-of-fit with the distribution described by Benfordโ€™s law.

Leading Digits

Benford's Law: Distributuon of leading digits

1

30.10%

2

17.60%

3

12.50%

4

9.70%

5

7.90%

6

6.70%

7

5.80%

8

5.10%

9

4.60%

Authorโ€™s Check Amounts Exercise 21 lists the observed frequencies of leading digits from amounts on checks from seven suspect companies. Here are the observed frequencies of the leading digits from the amounts on the most recent checks written by the author at the time this exercise was created: 83, 58, 27, 21, 21, 21, 6, 4, 9. (Those observed frequencies correspond to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively.) Using a 0.01 significance level, test the claim that these leading digits are from a population of leading digits that conform to Benfordโ€™s law. Does the conclusion change if the significance level is 0.05?

In Exercises 5โ€“20, conduct the hypothesis test and provide the test statistic and the P-value and, or critical value, and state the conclusion.

Kentucky Derby The table below lists the frequency of wins for different post positions through the 141st running of the Kentucky Derby horse race. A post position of 1 is closest to the inside rail, so the horse in that position has the shortest distance to run. (Because the number of horses varies from year to year, only the first 10 post positions are included.) Use a 0.05 significance level to test the claim that the likelihood of winning is the same for the different post positions. Based on the result, should bettors consider the post position of a horse racing in the Kentucky Derby?

Post Position

1

2

3

4

5

6

7

8

9

10

Wins

19

14

11

15

15

7

8

12

5

11

Bias in Clinical Trials? Researchers investigated the issue of race and equality of access to clinical trials. The following table shows the population distribution and the numbers of participants in clinical trials involving lung cancer (based on data from โ€œParticipation in Cancer Clinical Trials,โ€ by Murthy, Krumholz, and Gross, Journal of the American Medical Association, Vol. 291, No. 22). Use a 0.01 significance level to test the claim that the distribution of clinical trial participants fits well with the population distribution. Is there a race/ethnic group that appears to be very underrepresented?

Race/ethnicity

White

non-Hispanic

Hispanic

Black

Asian/

Pacific

Islander

American Indian/

Alaskan Native

Distribution of

Population

75.6%

9.1%

10.8%

3.8%

0.7%

Number in Lung

Cancer Clinical Trials

3855

60

316

54

12

In a study of high school students at least 16 years of age, researchers obtained survey results summarized in the accompanying table (based on data from โ€œTexting While Driving and Other Risky Motor Vehicle Behaviors Among U.S. High School Students,โ€ by Oโ€™Malley, Shults, and Eaton, Pediatrics,Vol. 131, No. 6). Use a 0.05 significance level to

test the claim of independence between texting while driving and driving when drinking alcohol. Are those two risky behaviors independent of each other?


Drove when drinking Alcohol?


Yes

No

Texted while driving

731

3054

No Texting while driving

156

4564

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