Answer: 0.1353
Step-by-step explanation:
Given : The mean of failures = 0.025 per hour.
Then for 8 hours , the mean of failures =
per eight hours.
Let X be the number of failures.
The formula to calculate the Poisson distribution is given by :_
![P(X=x)=\dfrac{e^{-\lambda}\lambda^x}{x!}](https://tex.z-dn.net/?f=P%28X%3Dx%29%3D%5Cdfrac%7Be%5E%7B-%5Clambda%7D%5Clambda%5Ex%7D%7Bx%21%7D)
Now, the probability that the instrument does not fail in an 8-hour shift :-
![P(X=0)=\dfrac{e^{-2}2^0}{0!}=0.1353352\approx0.1353](https://tex.z-dn.net/?f=P%28X%3D0%29%3D%5Cdfrac%7Be%5E%7B-2%7D2%5E0%7D%7B0%21%7D%3D0.1353352%5Capprox0.1353)
Hence, the the probability that the instrument does not fail in an 8-hour shift = 0.1353
Solve for the equation. The. Divide by 4 on both sides. And whatever you get for the slope. Write the opposite which will give you the perpendicular slope. For example: 1/4x is perpendicular to -4x
Ok this one is easier than you might think. The line equals 180 degrees since it is a straight line, therefore you need to do 180-27 to get what y equals. Y=153
The score of 96 is 2 standard deviations above the mean score. Using the empirical rule for a normal distribution, the probability of a score above 96 is 0.0235.
Therefore the number of students scoring above 96 is given by:
(5,-3)(7,3)
slope = (y2 - y1) / (x2 - x1)
slope = (3 - (-3) / (7 - 5) = (3 + 3) / 2 = 6/2 = 3 <==