Place each algebraic expressions next to its corresponding verbal description

(a) the difference of 5 times the cube of x cubed and the quotient of 4 times  x and 3

5 times the cube of x cubed is  

he quotient of 4 times  x and 3 is

The difference is  -

(b) 5 times the cube of x divided by 4 times x

5 x^3 divide by 4x. So expression is

(c) the quotient of the difference of 5 times x cubed and 4 and x

the difference of 5 times x cubed and 4 is  

The quotient of and x  is  

(d) the cube of the difference 5 times x  and 4

difference 5 times x  and 5 is 5x -4

the cube of (5x-4) is

(a)

x cubed is

5 times the cube of x is

4 times x is

the quotient of 4 times x and 3 is

so,

the difference of 5 times the cube of x cubed and the quotient of 4 times x and 3 is

..........Answer

(b)

5 times cube of x is

5 times cube of x divided by 4 times x is

..........Answer

(c)

difference of 5 times x cube and 4 is

so,

the quotient of the difference of 5 times x cube and 4 and x is

...........Answer

(d)

difference of 5 times x and 4 is

so,

the cube of the difference of 5 times x and 4 is is

............Answer

the answer   is 200

step-by-step explanation:

this is a problem about poisson probabilities.   i don't know if you've

already studied poisson distributions, or if you have a place to look

to read more about the subject.  

here's how you can see a poisson distribution coming.   when there are

a lot of events that may happen at any time (or any place), and when

you're counting how many of them happen at a particular time (or a

particular place), and each event is independent of the others, then

the result is a poisson distribution.   this is roughly true for the

chocolate chips; one chip being in a cookie has only a small effect on

the probability that another chip will be in the cookie.

once you know you have a poisson distribution, you know a lot.   there

is only one parameter to a poisson distribution, so if you know the

mean, you know everything.   the form of the distribution is

  probability of n chips = {[e^(-x)]*(x^n)} / (n! )