Ineed fast! 20 pts 1. let f(x)=(34)x . let g(x)=(34)x−6 . which statement describes the graph of g(x) with respect to the graph of f(x) ? a. g(x) is translated 6 units down from f(x) . b. g(x) is translated 6 units up from f(x) . c. g(x) is translated 6 units left from f(x) . d. g(x) is translated 6 units right from f(x) . 2. let f(x)=10x . which function represents a transformation of f(x) by a vertical stretch with factor 1.25? a. g(x)=101.25x b. g(x)=100.8x c. g(x)=1.25⋅10x d. g(x)=0.8⋅10x

Answer to question 1 would be g(x) is translated 6 units down from f(x)

When the number at the end is subtraction and it is outside of the parenthesis

then you are dealing with a translation of x units down.

If you were adding the 6 to x it would be a translation of 6 units up.

Now the same applies with left to right but the difference with that is if x is subtracted or added to 6 in the same parenthesis.

So process of elimination leads us to answer A for question 1.

Question 2. The answer would be C.

When dealing with vertical stretch you would have to be multiplying the factor to g(x).

When dealing with vertical compression you would need to do y=1/a f(x)

Process of elimination leads us to Answer choice C

Hope This helped

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! )

quit

step-by-step explanation: