Answer:
5.48
Step-by-step explanation:
add 2.98 1.75 and 0m75
Answer:
$1003.84615
Step-by-step explanation:
130.5 = x * 0.13
130.5/0.13 = x
x = 1003.84615
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?
Answer:
It won't allow me to put in a link for the graph but on a graph it would of course be at -2 on the x-axis, but you would go only 3/4 the way to one so it'll be right under 1 on the y-axis
Step-by-step explanation:
Answer:
1
Step-by-step explanation:
Slope is given by
m = (y2 -y1)/(x2-x1)
= ( -2 - -8)/( 2 - -4)
=( -2+8) / (2+4)
=6/6
=1