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Svetllana [295]
3 years ago
13

Eva and Dulcina have 82 pins together. Dulcina has 34 more pins than Eva. How many pins are in Dulcinas collection? How many pin

s are in Eva's collection?
Mathematics
1 answer:
ludmilkaskok [199]3 years ago
7 0

Answer:

Eva has 24 pins

Step-by-step explanation:

D = 34 + E

E + D = 82

34 + E + E = 82

2E = 48

E = 24

D = 24 + 34

D = 58

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goblinko [34]
4i = b
6(i-6) = b-6

6(i-6) = 4i - 6
6i - 36 = 4i - 6
2i - 36 = -6
2i = 30
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Check:
15 * 4 = 60
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3 years ago
4<br> Select the correct answer.<br> Which of these mappings is a function?
melomori [17]

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Step-by-step explanation:

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I need help with this question. Melissa is baking a birthday cake for her best friend and the preparation time is 12 minutes, wh
Otrada [13]

Answer:

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Step-by-step explanation:

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5 0
3 years ago
What is the mean of the following set of numbers? 32, 31, 37, 44 a. 13 b. 34 c. 36
ELEN [110]
Mean is average

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6 0
4 years ago
Suppose small aircraft arrive at a certain airport according to a Poisson process with rate a 5 8 per hour, so that the number o
timurjin [86]

Answer:

(a) P (X = 6) = 0.12214, P (X ≥ 6) = 0.8088, P (X ≥ 10) = 0.2834.

(b) The expected value of the number of small aircraft that arrive during a 90-min period is 12 and standard deviation is 3.464.

(c) P (X ≥ 20) = 0.5298 and P (X ≤ 10) = 0.0108.

Step-by-step explanation:

Let the random variable <em>X</em> = number of aircraft arrive at a certain airport during 1-hour period.

The arrival rate is, <em>λ</em>t = 8 per hour.

(a)

For <em>t</em> = 1 the average number of aircraft arrival is:

\lambda t=8\times 1=8

The probability distribution of a Poisson distribution is:

P(X=x)=\frac{e^{-8}(8)^{x}}{x!}

Compute the value of P (X = 6) as follows:

P(X=6)=\frac{e^{-8}(8)^{6}}{6!}\\=\frac{0.00034\times262144}{720}\\ =0.12214

Thus, the probability that exactly 6 small aircraft arrive during a 1-hour period is 0.12214.

Compute the value of P (X ≥ 6) as follows:

P(X\geq 6)=1-P(X

Thus, the probability that at least 6 small aircraft arrive during a 1-hour period is 0.8088.

Compute the value of P (X ≥ 10) as follows:

P(X\geq 10)=1-P(X

Thus, the probability that at least 10 small aircraft arrive during a 1-hour period is 0.2834.

(b)

For <em>t</em> = 90 minutes = 1.5 hour, the value of <em>λ</em>, the average number of aircraft arrival is:

\lambda t=8\times 1.5=12

The expected value of the number of small aircraft that arrive during a 90-min period is 12.

The standard deviation is:

SD=\sqrt{\lambda t}=\sqrt{12}=3.464

The standard deviation of the number of small aircraft that arrive during a 90-min period is 3.464.

(c)

For <em>t</em> = 2.5 the value of <em>λ</em>, the average number of aircraft arrival is:

\lambda t=8\times 2.5=20

Compute the value of P (X ≥ 20) as follows:

P(X\geq 20)=1-P(X

Thus, the probability that at least 20 small aircraft arrive during a 2.5-hour period is 0.5298.

Compute the value of P (X ≤ 10) as follows:

P(X\leq 10)=\sum\limits^{10}_{x=0}(\frac{e^{-20}(20)^{x}}{x!})\\=0.01081\\\approx0.0108

Thus, the probability that at most 10 small aircraft arrive during a 2.5-hour period is 0.0108.

8 0
3 years ago
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