Question

In: Statistics and Probability

Is there a relation between murder and arson? A random sample of 15 Midwest cities (over...

Is there a relation between murder and arson? A random sample of 15 Midwest cities (over 10,000 population) gave the following information about annual number of murder and arson cases. (Reference: Federal Bureau of Investigation, U.S. Department of Justice.)

City 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
Murder 12 18 23 15 21 20 8 22 17 16 9 7 11 13 19
Arson 37 19 157 29 165 38 7 105 69 155 27 9 13 59 160

Use a 1% level of significance to test the claim that there is a monotone-increasing relationship between the ranks of murder and arson.

(a) Rank-order murder using 1 as the largest data value. Also rank-order arson using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test.

City Murder
Rank x
Arson
Rank y
d = x - y d2
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15




























































Σd2 =



(b) What is the level of significance?

State the null and alternate hypotheses.

Ho: ρs < 0;  H1: ρs = 0Ho: ρs = 0; H1: ρs ≠ 0     Ho: ρs = 0;  H1: ρs > 0Ho: ρs = 0; H1: ρs < 0



(c) Compute the sample test statistic. (Use 3 decimal places.)


(d) Find the P-value interval of the sample test statistic.
P-value <  ---Select--- 0.001 0.01 0.05 0.10

(e) Conclude the test.

At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.     At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant.


(f) Interpret your conclusion in the context of the application. Fail to reject the null hypothesis, there is sufficient evidence that a monotonic increasing relationship exists between incidence of murder and arson.Fail to reject the null hypothesis, there is insufficient evidence that a monotonic increasing relationship exists between incidence of murder and arson.     Reject the null hypothesis, there is sufficient evidence that a monotonic increasing relationship exists between incidence of murder and arson.Reject the null hypothesis, there is insufficient evidence that a monotonic increasing relationship exists between incidence of murder and arson.

Solutions

Expert Solution

Solution: (a) Rank-order murder using 1 as the largest data value. Also rank-order arson using 1 as the largest data value. Then construct a table of ranks to be used for a Spearman rank correlation test.

Answer:

Therefore, spearman rank correlation is:

Therefore, Spearman rank correlation is

(b) What is the level of significance?

Answer: The level of significance is

State the null and alternate hypotheses.

Answer:

(c) Compute the sample test statistic.

Answer: The test statisic is:

  

  

  

Therefore, the sample statistic is

(d) Find the P-value interval of the sample test statistic.

Answer:

(e) Conclude the test.

Answer: At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant.

(f) Interpret your conclusion in the context of the application.

Answer: Reject the null hypothesis, there is sufficient evidence that a monotonic increasing relationship exists between incidence of murder and arson.


Related Solutions

A researcher wants to know the relationship between murder and robbery. The researcher recorded the number of murders and robberies per 100,000 population for a random selection of cities.
Question 4 A researcher wants to know the relationship between murder and robbery. The researcher recorded the number of murders and robberies per 100,000 population for a random selection of cities. Help the researcher to find the relationship between the two variables. Murders, x 2.4 2.7 5.6 2.6 2.1 3.3 6.6 5.7 Robberies, y 25 14 151 91 80 49 173 96         a. Calculate the correlation coefficient, R. Interpret the calculated value of R.       b. Briefly comment on the relationship...
5. For a random sample of 50 American cities, the linear correlation coefficient between the number...
5. For a random sample of 50 American cities, the linear correlation coefficient between the number of homocides last year and the number of schools in the city was found to be r = 0.653. a. What does this imply? b. Does this suggest that building more schools in a city could lead to higher levels of homocides? Why or why not? c. What is a likely lurking variable? 6. The data below are the first exam scores of 10...
Is there a relation between police protection and fire protection? A random sample of large population...
Is there a relation between police protection and fire protection? A random sample of large population areas gave the following information about the number of local police and the number of local fire-fighters (units in thousands). (Reference: Statistical Abstract of the United States.) Area 1 2 3 4 5 6 7 8 9 10 11 12 13 Police 9.5 13.8 9.0 3.1 5.4 4.8 13.0 14.9 10.2 4.9 3.9 4.7 13.5 Firefighters 2.0 4.0 1.7 1.2 2.2 1.3 3.3 5.2...
#32 Is there a relation between police protection and fire protection? A random sample of large...
#32 Is there a relation between police protection and fire protection? A random sample of large population areas gave the following information about the number of local police and the number of local fire-fighters (units in thousands). (Reference: Statistical Abstract of the United States.) Area 1 2 3 4 5 6 7 8 9 10 11 12 13 Police 10.8 13.3 17.0 16.3 7.6 3.2 5.3 15.4 2.7 4.7 4.1 6.1 5.6 Firefighters 3.1 2.5 4.8 2.9 3.3 1.2 2.4...
A random sample of 124 women over the age of 15 found that 3.68% of them...
A random sample of 124 women over the age of 15 found that 3.68% of them have been divorced. A random sample of 290 men over the age of 15 found that 5.86% have been divorced. Assuming normality and using a 95% significance level, test the claim that the proportion of divorced women is different than the proportion of divorced men. For this scenario, provide a hypothesis test with all six steps and provide both the critical value and the...
A record of violent crimes for a random sample of cities from the list of U.S....
A record of violent crimes for a random sample of cities from the list of U.S. cities with the fewest crimes is shown below. At significance level 0.05, is there sufficient evidence to indicate a relationship between the city and the type of crime committed? (Contingency table ) Forcible Rape Robbery Aggravated assault Cary, NC 14 35 70 Amherst, NY 10 33 76 Simi Valley, CA 14 37 77 Norman, OK 47 36 53
A simple random sample of 101 cities and counties in the United States was selected and...
A simple random sample of 101 cities and counties in the United States was selected and the number of positive COVID-19 cases per 1000 citizens was recorded for each. The mean number of positive cases for this sample of 101 counties and cities was 253, with a standard deviation of 11.4. Due to a couple of cities with extremely high numbers of cases the distribution is skewed heavily to the right. If appropriate, use this information to calculate and interpret...
What is the difference between a random sample and a simple random​ sample?
What is the difference between a random sample and a simple random​ sample?
The following data for a random sample of banks in two cities represent the ATM fees...
The following data for a random sample of banks in two cities represent the ATM fees for using another​ bank's ATM. Compute the range and sample standard deviation for ATM fees for each city. what is the standard deviation for city A? what is the standard deviation for city B? Which city has the most dispersion based on​ range? Which city has more dispersion based on the standard​ deviation? City A 2.5 1.0 1.0 0.0 2.0 City B 1.25 1.00...
In a random sample of 29 residents living in major cities on the West Coast (Group...
In a random sample of 29 residents living in major cities on the West Coast (Group 1) and 29 residents living in major cities on the East Coast (Group 2), each individual was asked their age. The results can be seen in the table below. The population standard deviation of the age in West Coast cities is known to be 10.95 years and in East Coast cities is known to be 9.67 years. Assume the populations are normally distributed. Run...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT