Answer:
11
Step-by-step explanation:
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%.
Learn more about probability at brainly.com/question/24756209
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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?
Zero because assistants don't know anything and only the chef can cook
jk
ok so how many 2/3's are in 8?
easy way to compar is
make 8 into a fraction over 3
8/1 times 3/3=24/3
how many 2/3 are in 24/3
how many 2's are in 24
12
answer is 12 desserts
Square of 3 over 14
in decimal form is it 11.22497216
Because you if it changes its a function