Mathematics, 07.04.2021 17:40 Dulcecandyy9396

You and your group members will be given one card by your teacher, labeled B - F below. Decide individually if your card is a good deal. Be prepared to explain your reasoning.

Explain to your group if you think it is a good deal and why.

If there are any disagreements, listen to the explanations and make a final decision on whether or not it is a good deal.

If your card is a good deal, label it “Deal.” If it is not a good deal, label the card “No Deal.”

You and your group members will be given one card by your teacher, labeled B - F below.

Decide in

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Answer from: bryson9604

vThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? timesvThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? vvv___ timesvThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? timesThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? times

Step-by-step explanation:vvThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? timesvThe probability that Tristan wins a certain game of chance is 1/4. If he plays the game 120 times, how many times can he expect to win the game? times

Answer from: Quest

Where are the graphs?

Answer from: Quest

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! )

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