Answer:
0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations
Step-by-step explanation:
Exponential distribution:
The exponential probability distribution, with mean m, is described by the following equation:

In which
is the decay parameter.
The probability that x is lower or equal to a is given by:

Which has the following solution:

The probability of finding a value higher than x is:

The mean time for the component failure is 2500 hours.
This means that 
What is the probability that the lifetime exceeds the mean time by more than 1 standard deviations?
The standard deviation of the exponential distribution is the same as the mean, so this is P(X > 5000).

0.1353 = 13.53% probability that the lifetime exceeds the mean time by more than 1 standard deviations
From the given statement, we know the following...
0.35x = $247 where x = the orginial number
So if we solve for x by dividing by 0.35
x = $247/0.35 = $705.71
Answer:
<em>I</em>(-1,3)
Step-by-step explanation:
Moving 3 units left adds -3 to x value
Moving 6 units up adds 6 to the y value
2 - 3 = -1
-3 + 6 = 3
(-1,3)
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-Chetan K
What does that 3/x and 2/x mean? 2x and 3x or x^2 and x^3?
<span>In getting the value of R in the formula of the circumference that you give where as the circumference is equals to 15, the derived formula is R=C/2pi and the answer would be that R is equals to 2.39. I hope you are satisfied with my answer and feel free to ask for more if you have more questions and further clarifications </span>