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
D is the correct answer because it’s greater than 985, 405
Answer:
8/19 if you turn it into a inproper fraction.
Step-by-step explanation:
The answer is B., valid because people were chosen randomly
This would make it a valid survey
Hope this helps!
;3
Combine like terms:
3 x 2 - 2x + 7 - 57 - 4x + 10
-34 - 6x