The result from the hypotheis test below shows that there is no significant evidence existing to show difference in the mutation.
<h3>How to solve for the z statistics</h3>
The hypothesis for this test has been stated below:
H0: pI - pII = 0
Ha: pI - pII ≠ 0
n1 = 9
p1 = 0.6%
n2 = 12
p2 = 1%
Using the z statistics formula
![\frac{0.006-0.01}{\sqrt{0.000663+0.000825} } \\\\\frac{-0.004}{\sqrt{0.001488} }](https://tex.z-dn.net/?f=%5Cfrac%7B0.006-0.01%7D%7B%5Csqrt%7B0.000663%2B0.000825%7D%20%7D%20%5C%5C%5C%5C%5Cfrac%7B-0.004%7D%7B%5Csqrt%7B0.001488%7D%20%7D)
z = -0.103
p value = z(-0.103) = 0.4589
The pvalue is greater that 0.01
The decision is to fail to reject the null hypothesis.
There is no significant evidence to show that there is a difference in the prevalence of mutation.
Read more on hypothesis testing here: brainly.com/question/15980493
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Answer:
Given,
I=50sin(100πt)
dQ=Idt=50sin(100πt)dt
Q=∫ 02001
50sin(100πt)dt=50×100πcos(100πt)∣ 02001
Q=50×100π=5000πC
Hence, total charge is 5000πC
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