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STALIN [3.7K]
3 years ago
15

12y+15=24-6y ??????????????????

Mathematics
1 answer:
lyudmila [28]3 years ago
7 0

Answer:y=1/2

Step-by-step explanation:

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Help plsss!<br><br> find the area of the shaded region
diamong [38]
I think it’s about 134.13 ft

to find the circle the formula is pi times the radius squared so:
12.5 x 12.5 = 156.25
156.25 x pi ≈ 490.8738 ft squared

to find the square it’s base x height so:
25 x 25 = 625

then to find the shaded part you just find the difference:
625 - 490.87 = 134.13 ft

8 0
3 years ago
Please help anything is appreciated I will give you Brinley if it’s right
bearhunter [10]

I wish you good lessons

4 0
3 years ago
4x-10y=-16 and -7x+20y=23 elimination
mixas84 [53]

(-5/8, 27/20) is the answer.

6 0
4 years ago
there arre 221 students on a fiel trip five students ride in a van the rest of the students fill the 6 buses enter an equation t
iren2701 [21]

According to the question statement, the total sum of students is 221, which includes the students that ride on bus and the students that ride in a van.

The students that ride in a van are five, the students that ride on bus are 6 times s which is the product of the number of buses and the number of students that are on each bus.

Write all this information into an equation, this way:

6s+5=221

Now, solve the equation for s to find the number of students that are on each bus.

\begin{gathered} 6s+5=221 \\ 6s=216 \\ s=\frac{216}{6} \\ s=36 \end{gathered}

There are 36 students on each bus.

3 0
2 years ago
A travelling salesman sells milkshake mixing machines and on average sells 8.4 machines per month. He needs to sell at least 3 m
klio [65]

Answer:

P(X<3) = 0.01004

Step-by-step explanation:

From the given information:

Consider the application of Poisson distribution P(X = x ) = \dfrac{e^{-\lambda} \lambda ^x}{x!} with the parameter \lambda = 8.4;

Therefore, we can calculate the required probability as follows:

P(X< 3) = P(X = 0) + P(X = 1) + P(X =2)

P(X< 3) = \dfrac{e^{-8.4} 8.4^0}{0!} +  \dfrac{e^{-8.4} 8.4^1}{1!} +  \dfrac{e^{-8.4} 8.4^2}{2!}

P(X< 3) =e^{-8.4}( 1 + 8.4+35.28)

P(X<3) = 0.01004

6 0
3 years ago
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