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2 years ago

2+2..................

Mathematics

1 answer:

Nana76 [90]2 years ago

4 0

Answer:

4..............21...........

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Can the answer is 6 xy2

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Some people advise that in very cold weather, you should keep the gas tank in your car more than half full. Lou's car had 6.1

elena55 [62]

$ 33.82

Step-by-step explanation:

If Lou already had 6.1 gallons in the 15-gallon tank, then the amount of volume left to fill was;

15 – 6.1 = 8.9

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I’m trying to prove this but I’m stuck... :( Can someone help ?

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2 years ago

You have a set of 10 cards numbered 1 to 10. You choose a card at random. Event A is

Evgesh-ka [11]

Answer:

35% or 35/100

Step-by-step explanation:

Gage Millar, Algebra 2 tutor

Choosing a number LESS than (not equal to 8) is 7/10 (1,2,3,4,5,6,7)

Chosing an even number is 5/10 (2,4,6,8,10)

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2 years ago

Suppose that X has a Poisson distribution with a mean of 64. Approximate the following probabilities. Round the answers to 4 dec

o-na [289]

Answer:

(a) The probability of the event (X > 84) is 0.007.

(b) The probability of the event (X < 64) is 0.483.

Step-by-step explanation:

The random variable X follows a Poisson distribution with parameter λ = 64.

The probability mass function of a Poisson distribution is:

$P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0, 1, 2, ...$

(a)

Compute the probability of the event (X > 84) as follows:

P (X > 84) = 1 - P (X ≤ 84)

$=1-\sum _{x=0}^{x=84}\frac{e^{-64}(64)^{x}}{x!}\\=1-[e^{-64}\sum _{x=0}^{x=84}\frac{(64)^{x}}{x!}]\\=1-[e^{-64}[\frac{(64)^{0}}{0!}+\frac{(64)^{1}}{1!}+\frac{(64)^{2}}{2!}+...+\frac{(64)^{84}}{84!}]]\\=1-0.99308\\=0.00692\\\approx0.007$

Thus, the probability of the event (X > 84) is 0.007.

(b)

Compute the probability of the event (X < 64) as follows:

P (X < 64) = P (X = 0) + P (X = 1) + P (X = 2) + ... + P (X = 63)

$=\sum _{x=0}^{x=63}\frac{e^{-64}(64)^{x}}{x!}\\=e^{-64}\sum _{x=0}^{x=63}\frac{(64)^{x}}{x!}\\=e^{-64}[\frac{(64)^{0}}{0!}+\frac{(64)^{1}}{1!}+\frac{(64)^{2}}{2!}+...+\frac{(64)^{63}}{63!}]\\=0.48338\\\approx0.483$

Thus, the probability of the event (X < 64) is 0.483.

5 0

2 years ago

2+2..................​

2+2..................