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
Answer:
G. <3 and <5 hope this helps
Answer:
A. 26 1/2
Step-by-step explanation:
change denominator so they can be the same
3/4*3 = 9/12
1/3*4 = 4/12
Add the whole numbers : 10 +15=25
9/12+4/12= 13/12 so 1 1/12
26 1/12
Answer:
attached above with detail explanation.