Answer:
The probability that the difference between the sample mean
and the true population mean
is : ![P[|\bar{x}-\mu|\leq0.7]=0.9876](https://tex.z-dn.net/?f=P%5B%7C%5Cbar%7Bx%7D-%5Cmu%7C%5Cleq0.7%5D%3D0.9876)
Step-by-step explanation:
Given :
Population standard deviation
.
Sample size 
The sample mean standard deviation
To find :
The probability that the difference between the sample mean
and the true population mean 

Now, the probability that the difference between the sample mean
and the true population mean
is :
,
is large 



Therefore, the probability ![P[|\bar{x}-\mu|\leq0.7]=0.9876](https://tex.z-dn.net/?f=P%5B%7C%5Cbar%7Bx%7D-%5Cmu%7C%5Cleq0.7%5D%3D0.9876)
It would be 2.31 i think.. If not i apologize.
What ever you do DO NOT open that link. the answer is 3050.906 i think
Answer:
A probability of 0 means it is unable to happen while a probibility of 1 is guranteed to happen.
For the answer to the question above, I'll provide a computation to the problem given and it will look like this.
<span>
M = 2345 × (0.0204166667 (1 + 0.0204166667)^(12×7)) / ((1 + 0.0204166667)^(12×7) - 1)
So the answer is
M= </span><span>$58.61
I hope my answer helped you with your problem. Have a nice day!
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