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3 years ago

Taking algebra (9th grade) pls helpp

Mathematics

1 answer:

jok3333 [9.3K]3 years ago

8 0

Answer:

f(n) = -7+3n

Step-by-step explanation:

I plugged the values into the equation and they work.

f(n) = -7 + 3(10) = 27

f(n) = -7 + 3(12) = 26

f(n) = -7 + 3(16)= 32

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Math pls help it says there is a cone but there isn't.

Snezhnost [94]

Answer:

SA = π3^2 + π3(7.5)

Step-by-step explanation: r is radius and L

is r*l/2

so 3*5/2=15/2=7.5

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1 year ago

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Could someone answer the question with the photo linked below?

Ne4ueva [31]

Answer:

$\sqrt{28}$

Step-by-step explanation:

Let's pretend the empty, white space in the middle is a triangle. A right triangle. then we just use the pythogerean theorem to get the a.

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3 years ago

Find the zeros of the function.

Zigmanuir [339]

Answer:

x = 3, x = 4

Step-by-step explanation:

To find the zeros of the function, equate f(x) to zero, that is

(x - 3)(2x - 8) = 0

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2 years ago

A line has slope and yintercept 5. which answer is the equation of the line

ioda

Answer: if the y-intercept is 5, it's c. -3/4x + 5. Since it's ax+b a = slope b = y intercept

Step-by-step explanation:

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3 years ago

Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute. The probability that

zloy xaker [14]

Answer:

0.0498 = 4.98%

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

In which

x is the number of sucesses

e = 2.71828 is the Euler number

$\mu$ is the mean in the given time interval.

Inquiries arrive at a record message device according to a Poisson process of rate 15 inquiries per minute.

Each minute has 60 seconds.

So a rate of 1 inquire each 4 seconds.

The probability that it takes more than 12 seconds for the first inquiry to arrive is approximately

Mean of 1 inquire each 4 seconds, so for 12 seconds $\mu = \frac{12}{4} = 3$

This probability is P(X = 0).

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

$P(X = 0) = \frac{e^{-3}*3^{0}}{(0)!} = 0.0498$

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3 years ago