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: 76%
Explanation: 55/72.00 x __/100= 5,500
5,500 divided by 72.00= 76.3888889
Answer:
-27
Step-by-step explanation:
-5-9=-14
-14-13=-27
Answer:
the x and y is 6 and -4 respectively
Step-by-step explanation:
The computation of solving the system of equations is given below:
Given that
5x - 7y = 58
And,
y = -x + 2
Put y value in the first equation
5x - 7(-x + 2) = 58
5x + 7x - 14 = 58
12x = 58 + 14
12x = 72
x = 6
So y = -6 + 2
= -4
Hence, the x and y is 6 and -4 respectively