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
gev me branly for the answer
Step-by-step explanation:
Answer:
your answer should be 37:7
Try to reduce the ratio further with the greatest common factor (GCF).
The GCF of 777 and 147 is 21
Divide both terms by the GCF, 21:
777 ÷ 21 = 37
147 ÷ 21 = 7
The ratio 777 : 147 can be reduced to lowest terms by dividing both terms by the GCF = 21 :
777 : 147 = 37 : 7
Therefore:
777 : 147 = 37 : 7
It is given that aiden has purchased a 2 lb package, a 3 lb package, and a 4 lb package
The first step is to add these packages together
2+3+4 is 9
each turkey burger needs 1/3 lb of turkey, which also means that every pound of turkey aiden has can make 3 turkey burgers
Aiden has 9 pounds of turkey, so he can make 27 turkey burgers (3*9)
Hope this helped! If you still need help I can answer in comments