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:
mx + y = c slope = - 4 and y - intercept = 2 , then the equation of line is mx + y = c .
Step-by-step explanation:
If I am wrong sorry If I am right mark me brainliest
Answer:
1. x = 10
2. x = 4
Step-by-step explanation:
I use the angle ABC method:
AB² + AC² = BC²
6² + 8² = x²
x = 10
AB² + AC² = BC²
3² + x² = 5²
x = 4
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Answer:
y = 5
z = 55
Step-by-step explanation:
90 - 35 = 55
z = 55
7y = 35
y= 5
Answer:scales percent error=3.51%
Step-by-step explanation:
P ercent error = Experimental value - Theoretical value /Theoretical value x 100
Theoretical value = 6255 grams
Experimental value ( use of scale ) = 6475grams
Percent error =(6475- 6255)grams / 6255grams x 100
=220/6255 x 100
=3.51%
