<span>If points of a region represent equally-likely outcomes, then you can find probabilities by comparing areas would be true.</span>
Answer:
123
Step-by-step explanation:
hope this helps
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
If sandys friends ate 0, 2, 3, 4, 6, 6, and 7 pretzels, the mean of the data would be 4. So yes sandy is correct.
(-2,3) to (2,-3)
6^2 + 4^2 = c^2
c = 7.21
————
(-2,3) to (1,5)
2^2 + 3^2 = c^2
c = 3.61
————
3.61 * 7.21 = approx. 26.03
The area is 26.03un^2