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Arturiano [62]
3 years ago
8

How many different outcomes are there if a cube with 4 red faces and 2 white faces is rolled once​

Mathematics
1 answer:
Karolina [17]3 years ago
3 0
It is 3 how many different outcomes are they there are three outcomes road once
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B=2/3(H+5) Solve for H Thank you :)
kenny6666 [7]

Answer:

h= 2/3/B -5

Step-by-step explanation:

move h=5 to the other side, divide b, then subtract 5

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What time is 5 1 4hours after 7:00 p.m.?
myrzilka [38]

for the 514 hours after 7 p.m. the answer to that is 5 a.m.

7 0
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twelve less than four times some number n is at least three more than the number. What values are possible for n?
IRISSAK [1]
4n -12 >n
4n > n + 12
3n > 12
n > 4
So 5,6,7,8,9, and so on
3 0
3 years ago
Which is greater 3.65x10-8 or 3.65x10-7
Mice21 [21]

Answer:

the second one is your answer

Step-by-step explanation:

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3 0
3 years ago
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1. A report from the Secretary of Health and Human Services stated that 70% of single-vehicle traffic fatalities that occur at n
Nuetrik [128]

Using the binomial distribution, it is found that there is a 0.7215 = 72.15% probability that between 10 and 15, inclusive, accidents involved drivers who were intoxicated.

For each fatality, there are only two possible outcomes, either it involved an intoxicated driver, or it did not. The probability of a fatality involving an intoxicated driver is independent of any other fatality, which means that the binomial distribution is used to solve this question.

Binomial probability distribution

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

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

The parameters are:

  • x is the number of successes.
  • n is the number of trials.
  • p is the probability of a success on a single trial.

In this problem:

  • 70% of fatalities involve an intoxicated driver, hence p = 0.7.
  • A sample of 15 fatalities is taken, hence n = 15.

The probability is:

P(10 \leq X \leq 15) = P(X = 10) + P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14) + P(X = 15)

Hence

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

P(X = 10) = C_{15,10}.(0.7)^{10}.(0.3)^{5} = 0.2061

P(X = 11) = C_{15,11}.(0.7)^{11}.(0.3)^{4} = 0.2186

P(X = 12) = C_{15,12}.(0.7)^{12}.(0.3)^{3} = 0.1700

P(X = 13) = C_{15,13}.(0.7)^{13}.(0.3)^{2} = 0.0916

P(X = 14) = C_{15,14}.(0.7)^{14}.(0.3)^{1} = 0.0305

P(X = 15) = C_{15,15}.(0.7)^{15}.(0.3)^{0} = 0.0047

Then:

P(10 \leq X \leq 15) = P(X = 10) + P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14) + P(X = 15) = 0.2061 + 0.2186 + 0.1700 + 0.0916 + 0.0305 + 0.0047 = 0.7215

0.7215 = 72.15% probability that between 10 and 15, inclusive, accidents involved drivers who were intoxicated.

A similar problem is given at brainly.com/question/24863377

5 0
3 years ago
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