In: Statistics and Probability
Please do as little intermediate rounding as possible in order
to get the correct p-value.
In a sample of 200 of Deadpool's severed arms, 112 of them grow
back a new Deadpool. In a sample of 210 of Deadpool's legs, 90 of
them grow back a new Deadpool.
Do we have evidence at the various levels that Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs?
The associated p-value for this hypothesis test is ( )? (Answers to
four places after the decimal.)
(a) At the 13% level (yes or no?)
(b)At the 10% level (yes or no?)
(c)At the 7% level (yes or no?)
(d)At the 5% level (yes or no?)
(e)At the 3% level (yes or no?)
(f)At the 2% level (yes or no?)
(g)At the 1% level (yes or no?)
(h)At the 0.2% level (yes or no?)
(i)At the 0.1% level (yes or no?)
From the question, we have the following.
Sample 1: In a sample of 200 of Deadpool's severed arms, 112 of them grow back a new Deadpool.
Sample 2: In a sample of 210 of Deadpool's legs, 90 of them grow back a new Deadpool.
We have to check whether Deadpool's severed arms are more likely to grow back a new Deadpool than his severed legs.
Here let us consider the grow back rate as a population characteristic. Then Sample 1 has 112 of 200 which posses this characteristic and similarly Sample 2 has 90 out of 210 which has this characteristic.
In this case, the question can be now restated equivalently as follows:
Using the information from the samples, we have to check whether the proportion of the population which posses this characteristic is the same in both population. i.e., we have to check for equality of proportions.
Let P1 and P2 denote the population proportion which posses the characteristic of grow back, for the populations of Deadpool's severed arms and legs respectively.
Then the hypothesis of the test can be stated as to test:
grow back rate is the same for Deadpool's severed arms and legs.
Deadpool's severed arms are more likely to grow back a new Deadpool than his severed legs.
i.e.,
This test can be easily performed using R-software. Please find attached the screenshots with codes and the corresponding results.
The associated p-value for
this hypothesis test is ( )? (Answers to four places after the
decimal.)
Following are the scripts for
testing.
The R-output of the of the above test
is given below.
From the output it is clear that the p - value for this
test is 0.0039.
The answers for all subpart questions can be reached as
follows:
For all the tests where the p-value (= 0.0039) is less than the
given significance level, we fail to accept the null hypothesis.
Alternatively, for all the tests where the p-value (= 0.0039) is
greater than the given significance level, we fail to reject the
null hypothesis.
i.e., we fail to accept the null hypothesis for parts (a) to (g).
and we fail to reject the null hypothesis for parts (h) and
(g).
Please find the detailed explanation for the subparts below.
(a) At the 13% level (yes
or no?)
Here, we have to conduct the test at a significance level of
13%.
Therefore, we have to conduct the test a confidence level of 100 -
13 = 87.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here, since the p-value (= 0.0039) is less than the significance
level (= 0.13), we fail to accept the null hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(b)At the 10% level (yes or
no?)
Here, we have to conduct the test at a significance level of
10%.
Therefore, we have to conduct the test a confidence level of 100 -
10 = 90.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.10), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(c)At the 7% level (yes or
no?)
Here, we have to conduct the test at a significance level of
7%.
Therefore, we have to conduct the test a confidence level of 100 -
7 = 93.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.07), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(d)At the 5% level (yes or
no?)
Here, we have to conduct the test at a significance level of
5%.
Therefore, we have to conduct the test a confidence level of 100 -
5 = 95.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.05), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(e)At the 3% level (yes or
no?)
Here, we have to conduct the test at a significance level of
3%.
Therefore, we have to conduct the test a confidence level of 100 -
3 = 97.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.03), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(f)At the 2% level (yes or
no?)
Here, we have to conduct the test at a significance level of
2%.
Therefore, we have to conduct the test a confidence level of 100 -
2 = 98.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.02), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(g)At the 1% level (yes or
no?)
Here, we have to conduct the test at a significance level of
1%.
Therefore, we have to conduct the test a confidence level of 100 -
1 = 99.
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here also, since the p-value (= 0.0039) is less than the
significance level (= 0.01), we fail to accept the null
hypothesis.
This is favorable to the conclusion that the Deadpool's severed
arms are more likely to grow back a new Deadpool than his severed
legs.
(h)At the 0.2% level (yes
or no?)
Here, we have to conduct the test at a significance level of
0.2%.
Therefore, we have to conduct the test a confidence level of 100 -
0.2 = 99.8
Following are the scripts for this
test.
The R-output of the of the above test
is given below.
Here, since the p-value (= 0.0039) is greater than the significance
level (= 0.002), we fail to reject the null hypothesis.
This is favorable to the conclusion that the grow back rate is the
same for Deadpool's severed arms and legs..
(i)At the 0.1% level (yes or no?)
Here, we have to conduct the test at a significance level of 0.1%.