Eric downloads a 15% off any one item coupon and goes shopping at gadgets galore, where he buys a digital camera for $92 and an extra battery for $15.99.
part 1
what is the total cost if the coupon is applied to the digital camera? drag and drop the correct amount into the box to complete the answer.

the total cost is . $94.19
part 2
what is the total cost if the coupon is applied to the extra battery? drag and drop the correct amount into the box to complete the answer. amounts may be rounded to the nearest cent.

the cost is . $105.59

part 3
to which item should eric apply the discount?

eric can save more money by applying the discount to the . so he should apply the discount to that item. digital camera

part 4 out of 4
eric has to pay 7% sales tax after the coupon is applied. how much is his total bill? if necessary, round to the nearest cent.

the total bill, after taxes are applied, is $ ? i just need the answer to question for the rest is just info

$100.78

Step-by-step explanation:

Find 7 percent of 94.19 by multiplying 94.19 times .7 the answer is 6.59

Then, add 6.59 to 94.19 you end up with 100.78

Mark me as brainliest if this helps!

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! )

the 3rd option is right

step-by-step explanation: