All categories

2 years ago

Solve for x. - 30 – 5x - 1) + 7 = - 110

Mathematics

1 answer:

ololo11 [35]2 years ago

5 0

Answer:

$x = \frac{86}{5} = 17 \frac{1}{5} = 17.2$

Step-by-step explanation:

$( - 30 - 5x - 1) + 7 = - 110$

$( - 31 - 5x) + 7 = - 110$

$- 31 - 5x + 7 = - 110$

$- 24 - 5x = - 110$

$- 5x = - 110 + 24$

$- 5x = - 86$

$\boxed{\green{x = \frac{86}{5} = 17 \frac{1}{5} = 17.2}}$

You might be interested in

Please help me. I really need help and this is my hw I did most of them I just didn’t know these so please help me.

ella [17]

Answer:

6 inches

Step-by-step explanation:

3) Because 39/13=3 and 2*3=6.

3 0

3 years ago

Help with 7-12 please!

OLEGan [10]

How to solve 7-10: if a coordinate (x, y) is on the line, then f(x) = y.

7. Since x is 6, look at the graph, which shows that y (or f(x)) is 4. (look at picture)

8. Same thing as 7. you will see that f(x) is 15.

9. The other way around. since we know y = 2, looking at the graph shows us that x = 3.

10. Repeat process of 9. x = 10.

How to solve 11 + 12: slope formula (rise-over-run)

11. (14-4)/(12-6) = 10/6 = 5/3.

12. (16-14)/(18-12) = 2/6 = 1/3.

(If possible brainliest is appreciated :D)

5 0

3 years ago

A company dyes two sizes of rugs. A small rug requires 4 hours for dyeing and a medium-size rug requires 6 hours for dyeing. The

Nadusha1986 [10]

I just finished this test and the correct answer is "4x + 6y < 120" or "B"

8 0

3 years ago

Read 3 more answers

Assume that a policyholder is four times more likely to file exactly two claims as to file exactly three claims. Assume also tha

kykrilka [37]

Answer:

1.3125

Step-by-step explanation:

Given that our random variable $X$ follows a Poisson distribution $P(X=k)=\frac{\lambda^k e^-^p}{k!} \ \ \ \ \ \ \ \ p=\lambda$

Evaluate the formula at $k=2,3:$

$P(X=2)=0.5\lambda^2e^{-\lambda}\\\\P(X=3)=\frac{1}{6}\lambda^2e^{-\lambda}$

#since

$4P(X=2)=P(X=3);\\\\0.5\lambda^2e^{-\lambda}=4\times\frac{1}{6}\lambda^3e^{-\lambda}\\\\0.5\lambda^2=\frac{2}{3}\lambda^3\\\\0.75=\lambda$

The mean and variance of the Poisson distributed random variable is equal to $\lambda$ :

$\mu=\lambda=0.75\\\sigma ^2=\lambda=0.75$

#By property variance:

$\sigma ^2=V(X)=E(X^2)-(E(X))^2=E(X^2)\\\\E(X^2)=\sigma^2+\mu^2=0.75+0.75^2=1.3125$

The expectation is 1.3125

4 0

3 years ago

5/6 x 12 in simplest form?

Jlenok [28]

Answer:

Step-by-step explanation:

8 0

3 years ago

Read 2 more answers