Answer:
420.72
Step-by-step explanation:
Answer:
2,000 miles
Step-by-step explanation:
We are given:

This can be rewritten as:

This is representative of a unit rate, as we have a
in the denominator. To calculate the number of miles in
inches, simply multiply the unit rate by
:


This can rewritten as:

Therefore, there are 2,000 miles in 4 inches.
-
We can check our solution by simplifying the fraction
by dividing both
and
by
to see if we achieve the unit rate:

Since this is in fact the unit rate, our solution is correct!
Each line indicates the amount of a certain object.
We already know that the value of the green line is 15, all that is left to do is find the rest . . .
<u>Values</u>
Red Line: 20
Orange Line: 60
Green Line: 15
turquoise Line: 45
Blue Line: 65
Your welcome :3
Answer:
And we can find this probability with this difference:
And if we use the normal standard distribution or excel we got:
Step-by-step explanation:
Let X the random variable that represent the time required to construct and test a particular component of a population, and for this case we know the distribution for X is given by:
Where
and
We want to find this probability:
And the best way to solve this problem is using the normal standard distribution and the z score given by:
Using this formula we got:
And we can find this probability with this difference:
And if we use the normal standard distribution or excel we got: