3/4 + 1/2
multiply 1/2 denominator and numerator by 2 to match 3/4
= 3/4 + 2/4 = 5/4 (copy same denominator add numerator)
2/6 + 1/3
divide 2/6 denominator and numerator by 2 to match 1/3
= 1/3 + 1/3 = 2/3 (copy same denominator add numerator)
5/9 + 2/3
multiply 2/3 denominator and numerator by 3 to match 5/9
= 5/9 + 6/9 = 11/9 (copy same denominator add numerator)
6/9 -1/5
cross multiply 6x5 - 1x9 for numerator
for denominator multiply 9x5
=30/45 - 9/45= 21/45
divide num and den by 3
=7/15
5/8-1/3
cross multiply 5x3-1x8 for numerator
multiply 8x3 for denominator
= 15/24 -8/24 =7/24
Answer:
A
Step-by-step explanation:
So we have the two functions:

And we want to find (f/g)(x).
This is the same as:

So, substitute (2x+5) for f(x) and (x-8) for g(x). So:

Now, we want to find the domain.
Note that this is a rational function. The domain of a rational function is always all real numbers <em>except</em> when the denominator equals 0. This is because, remember, you can't divide by 0!
So, to find the domain restrictions, set the denominator equal to 0 and solve for x. So:

Solve for x. Add 8 to both sides:

So, our domain is all real numbers except for 8. We can check this, when x is 8, our function is 21/0, which is undefined.
Therefore, our answer is A.
And we're done!
Edit: Typo
Answer:
3.75
Step-by-step explanation:
half of 3 is 1.5 and half of 1.5 or a quarter of 3 is .75
Answer:
E
Step-by-step explanation:
The equation of proportion is
y = kx ← k is the constant of proportionality and
k = 
Substitute the values from the table into the equation for k, that is
k =
=
=
= 
Answer:

And using the cdf we got:

Step-by-step explanation:
Previous concepts
The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

And 0 for other case. Let X the random variable that represent the random variable of interest and we know that the distribution is given by:

We know the variance on this case given by :

So then the deviation is given by:

And if we solve for
we got:

The cumulative distribution function for the exponential distribution is given by:

Solution to the problem
And for this case we want to find this probability:

And using the cdf we got:
