Answer:
a) The probability that the life of the component is less than or equal to 6000 hours is 58%
b) The probability that the life is greater than 4000 hours is 96%
Step-by-step explanation:
Let's define the variable time as
, which is measured in hours. Then, according to the problem:
- The probability that the component survives for more than 6000 hours is 0.42

- The probability that the component survives no longer than 4000 hours is 0.04

a) The probability that the life of the component is less than or equal to 6000 needs to be equal to
.
To see this, think of a full set, whose elements can be separate in two categories, the ones that survive more than 6000 hours (let's call them A and number of elements of this type Na) and the ones that survive less than or equal to 6000 (let's call them B and number of elements of this type Nb). Thus, the total number of elements can be calculate as
, which represents the unit.
If you want to calculate the proportion of elements of type A, you need to divide the number of element of type A over the total number of elements, which is
. And the same analysis applies to the proportion of elements of type B:
. Hence, it is easy to see:

of course this only applies when the elements can be only categorized as one type or the other, which is call in probability, mutually exclusive events.
Using this for:
a) 
b) 
273.32 is the surface area. Hope this helps!
If 9 of the sparrows is 45% of the birds in the backyard, 9/x = 45/100.
Cross multiply to get 9 * 100 = 45x; simplified is 900 = 45x or 20.
This means that there are 20 birds in the backyard. You can check this by dividing 9/20 which equals 45%
Answer:
James's monthly income is $1250.
Step-by-step explanation:
If the budget accounts for James's entire monthly income, the sum of the cost of all the items on the budget is his total monthly income.
Income = 300 + 175 + 125 + 200 + 250 + 50 + 25 + 125 = $1250
Answer: <u>Last option</u>

Step-by-step explanation:
The z-scores give us information about how many standard deviations from the mean the data are. This difference can be negative, if the data are n deviations to the left of the mean, or it can be positive if the data are n deviations to the right of the mean.
To calculate the Z scores, we calculate the difference between the value of the data and the mean and then divide this difference by the standard deviation.
so
.
Where x is the value of the data, μ is the mean and σ is the standard deviation
In this case
:
μ = 12 $/h
= 2 $/h
We need to calculate the Z-scores for
and 
Then for
:
.
Then for
:
.
Therefore the answer is:
