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ella [17]
3 years ago
12

Round 644.4 644.4644, point, 4 to the nearest one.

Mathematics
2 answers:
creativ13 [48]3 years ago
7 0

Answer:

644

Step-by-step explanation:

Over [174]3 years ago
6 0

Answer:

6 \\ 6 \\ 0

Step-by-step explanation:

to  \: the \:  nearest  \: one \to \: and \: not \: one \: hundred \\

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Consider the following binomial experiment. The probability that a green jelly bean is chosen at random from a large package of
Flura [38]

Answer:

There is a 5.79% probability that at most 2 jelly beans are chosen.

Step-by-step explanation:

For each jelly bean chosen, there are only two possible outcomes. Either it is green, or it is not. This is why we use the binomial probability distribution to solve this problem.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinatios of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

In this problem we have that:

There are 13 jelly beans, so n = 13.

The probability that a green jelly bean is chosen at random from a large package of jelly beans is 2/5. This means that p = 0.4.

If Sally chooses 13 jelly beans, what is the probability that at most two will be green jelly beans?

This is

P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2).

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 0) = C_{13,0}.(0.4)^{0}.(0.6)^{13} = 0.0013

P(X = 1) = C_{13,1}.(0.4)^{1}.(0.6)^{12} = 0.0113

P(X = 1) = C_{13,2}.(0.4)^{2}.(0.6)^{111} = 0.0453

So

P(X \leq 2) = P(X = 0) + P(X = 1) + P(X = 2) = 0.0013 + 0.0113 + 0.0453 = 0.0579.

There is a 5.79% probability that at most 2 jelly beans are chosen.

8 0
3 years ago
HELPP ILL GIVE BRAINLESS
Arte-miy333 [17]

Answer:

Scale Factor is 2.5

Step-by-step explanation:

3 0
3 years ago
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