Answer:
the answer is A {126,168,189}
Answer:
The answer is 36 or c all you need to do is multiply 12 by 3
Answer: They are similar but not congruent.
Step-by-step explanation: hope this help
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
#SPJ4
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:
steps below
Step-by-step explanation:
post here 16 and 17, should be able to do 18 and 19 yourself
16.
y=-8 for x≤-6
y=-1/4 x + 2 for -4≤x≤4
y=4 for x>4
17.
y=-x-4 for x<-3
y=x+1 for -3≤x≤1
y=-6 for x>4