The probability that the mean clock life would differ from the population mean by greater than 12.5 years is 98.30%.
Given mean of 14 years, variance of 25 and sample size is 50.
We have to calculate the probability that the mean clock life would differ from the population mean by greater than 1.5 years.
μ=14,
σ=
=5
n=50
s orσ =5/
=0.7071.
This is 1 subtracted by the p value of z when X=12.5.
So,
z=X-μ/σ
=12.5-14/0.7071
=-2.12
P value=0.0170
1-0.0170=0.9830
=98.30%
Hence the probability that the mean clock life would differ from the population mean by greater than 1.5 years is 98.30%.
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There is a mistake in question and correct question is as under:
What is the probability that the mean clock life would differ from the population mean by greater than 12.5 years?
Answer:
Range:-4 is less then Y is less then 9. Domain: -5 is less then x is less then 4
Step-by-step explanation:
Look at where the lines end. That will help you find where the domain and ranges are.
Answer:
96 people were teenagers
Step-by-step explanation:
2400*4%= 96
Your answer would be 3.4
Anything under 5 it stays the same and anything over 5 it goes up one