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
No the game with tax after the %50 off will com to $25.08 ron will be short .08 cents
4 x 5 x 5 is 100 if u distribute
Now 5 + 5 x 4 is 25
Answer: 
Step-by-step explanation:

Answer:
11 3/5*9*12 1/2=1,305
1,305 cubic meters
Hope I helped.
Step-by-step explanation: