Answer:
The percent of the parts are expected to fail before the 2100 hours is 0.15.
Step-by-step explanation:
Given :Life tests on a helicopter rotor bearing give a population mean value of 2500 hours and a population standard deviation of 135 hours.
To Find : If the specification requires that the bearing lasts at least 2100 hours, what percent of the parts are expected to fail before the 2100 hours?.
Solution:
We will use z score formula

Mean value = 
Standard deviation = 
We are supposed to find If the specification requires that the bearing lasts at least 2100 hours, what percent of the parts are expected to fail before the 2100 hours?
So we are supposed to find P(z<2100)
so, x = 2100
Substitute the values in the formula


Now to find P(z<2100) we will use z table
At z = −2.96 the value is 0.0015
So, In percent = 
Hence The percent of the parts are expected to fail before the 2100 hours is 0.15.
The unit price would be $1.25
Because:
175 ÷ 140 = 1.25
They would earn $312.50
Because:
1.25 × 250 = 312.5
<span>♡ Hope I helped </span>♡
S=d/t so in this case it's 75/12 which is 6.25. Round it and you got 6 miles per hour.
For this case we can make the following rule of three:
1 square mile -------------------> 4.6 * 10 ^ 4 pieces of trash
1.2 * 10 ^ 8 square miles -------> x
From here, we clear the value of x:
We have then:
x = (1.2 * 10 ^ 8) * (4.6 * 10 ^ 4)
x = 5.52 * 10 ^ 12 pieces of trash
Answer:
there are 5.52 * 10 ^ 12 pieces of trash in the earth's oceans
I would say a line graph is probably the best way (it is usually the normal way) so that you can see the fluctations in temperature. Time on the x-axis and temp on the y-axis