Select appropiate null hypothesis to test if the observed cell counts follow the specificed distribution then test the hypothesis under a 5% significance level.
Select appropiate null hypothesis to test if the observed cell counts follow the specificed distribution then test the hypothesis under a 5% significance level.
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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Using photo attached, select appropiate null hypothesis to test if the observed cell counts follow the specificed distribution then test the hypothesis under a 5% significance level. Show work please.
![There is a wonderful study conducted in 1898 by von Bortkiewicz which provides data on the
death of soldiers in the Prussian army from kicks by horses and mules. The data pertain to 10
army corps, each observed over 20 years, for a total of 200 corps-years. The following table
summarizes the observed data: note that in 109 corps-years zero deaths occurred; 65 corps-years
had one death, etc.:
Deaths
0
4
Occurrences 109
1
65
b.
22
3
3
Total
200
Von Bortkiewicz felt that a distribution known as the Poisson distribution would describe these
data well. Using that distribution, he produced the following probabilities:
Deaths
0
k
3
Probabilities 0.543 0.331 0.101 0.021 0.003
Total
0.999
Select appropiate null hypothesis to test if the observed cell counts follow the specificed distribution
then test the hypothesis under a 5% significance level.
Null Hypothesis Choices:
1. Ho: The variables Deaths and Probabilities are not associated.
2.
Ho: p0 = 0.543; p1 = 0.331; p2 = 0.101; p3 = 0.021; p4 = 0.003
3. Ho: Not all the probabilities are as specified.
4. Ho: p0 p1=p2 = p3 =p4 = 0.20
5.
Ho: p0 = 0.545; p1 = 0.325; p2 = 0.110; p3 = 0.015; p4 = 0.005](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7b29645a-0ab1-430e-8068-eacf63f4d25e%2F6e806358-613d-4554-a6fc-4ab8513db6b1%2F8zid7lj_processed.png&w=3840&q=75)
Transcribed Image Text:There is a wonderful study conducted in 1898 by von Bortkiewicz which provides data on the
death of soldiers in the Prussian army from kicks by horses and mules. The data pertain to 10
army corps, each observed over 20 years, for a total of 200 corps-years. The following table
summarizes the observed data: note that in 109 corps-years zero deaths occurred; 65 corps-years
had one death, etc.:
Deaths
0
4
Occurrences 109
1
65
b.
22
3
3
Total
200
Von Bortkiewicz felt that a distribution known as the Poisson distribution would describe these
data well. Using that distribution, he produced the following probabilities:
Deaths
0
k
3
Probabilities 0.543 0.331 0.101 0.021 0.003
Total
0.999
Select appropiate null hypothesis to test if the observed cell counts follow the specificed distribution
then test the hypothesis under a 5% significance level.
Null Hypothesis Choices:
1. Ho: The variables Deaths and Probabilities are not associated.
2.
Ho: p0 = 0.543; p1 = 0.331; p2 = 0.101; p3 = 0.021; p4 = 0.003
3. Ho: Not all the probabilities are as specified.
4. Ho: p0 p1=p2 = p3 =p4 = 0.20
5.
Ho: p0 = 0.545; p1 = 0.325; p2 = 0.110; p3 = 0.015; p4 = 0.005
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