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svetlana [45]
3 years ago
5

The quotient of 12 and the product of 5 and t

Mathematics
1 answer:
n200080 [17]3 years ago
4 0

The quotient of 12 and the product of 5 and t is:

\frac{12}{5t}

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!!!! could anyone help on these two problems? find the value of each trigonometric ratio
Setler [38]

Answers:

  • sin(C) = 24/25
  • cos(Z) = 5/13

=============================================

Explanation:

The formulas we use are

  • sin(angle) = opposite/hypotenuse
  • cos(angle) = adjacent/hypotenuse

The fraction 15/39 reduces to 5/13 after dividing both parts by the GCF 3.

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What is the math answer for 8x+6
BigorU [14]
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Please help - 30 points.<br> I will mark the best answer Brainliest.
shutvik [7]

Answer:

(1,3) IS YOUR ANSWER

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Answer:

27 children

Step-by-step explanation:

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5 0
2 years ago
Read 2 more answers
The auto parts department of an automotive dealership sends out a mean of 4.2 special orders daily. What is the probability that
gregori [183]

The probability that, for any day, the number of special orders sent out will be exactly 3 is 0.1633.

<h3>What are some of the properties of Poisson distribution?</h3>

The Poisson distribution is a discrete probability distribution that describes the likelihood of a specific number of events occurring in a specified span of time or space, if these events occur at a constant mean rate and regardless of the time since the last occurrence.

Let X ~ Pois(λ)

Then we have:

E(X) = λ = Var(X)

Since standard deviation is the square root (positive) of variance,

Thus,

The standard deviation of X = \sqrt{\lambda}

Its probability function is given by

f(k; λ) = Pr(X = k) =   \dfrac{\lambda^{k}e^{-\lambda}}{k!}

Given the mean is 4.2.

We have to find the probability that on any day, the number of special orders sent out will be exactly 3. Therefore, the value of x will be 5.

Using the Poisson distribution,

P(x) = \dfrac{e^{-\lambda}\lambda ^x}{x!}\\\\P(5) =\dfrac{e^{-4.2}(4.2)^5}{5!}\\\\P(5) = 0.1633

Hence, the probability that, for any day, the number of special orders sent out will be exactly 3 is 0.1633.

Learn more about Poisson distribution here:

brainly.com/question/7879375

#SPJ1

5 0
2 years ago
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