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alexdok [17]
2 years ago
9

Solve for x in the second equation and substitute it into the first equation. The result is .

Mathematics
1 answer:
Mice21 [21]2 years ago
6 0
Where is the equation?
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Please help me with this homework
SIZIF [17.4K]

Answer:

16

Step-by-step explanation:

7 0
3 years ago
A 72,000 gallon water tower is being drained. Two thousand gallons are drained in the first hour. How many hours will it take to
ololo11 [35]

Answer:

To drain the water tower it will take 36 hours.

Step-by-step explanation:

Given:

A 72,000 water tower is being drained, and in an hour 2000 gallons are drained.

Now, to calculate the hours it would take to drain total 72,000 gallons of water, we should divide the gallons of water drained in one hour by total gallons of water in the tower.

Gallons of total water in the tower ÷ Gallons of water drained per hour

72000\div 2000

=\ 36

Therefore, to drain the water tower it will take 36 hours.

6 0
3 years ago
Answer please. Explanation thank you, you don’t have to explain if you don’t want to. Please answer
Yuki888 [10]
I think the explanation is tha the harangued could be shanty of the Akamai
3 0
3 years ago
Find an equation of the line with the given slope and​ y-intercept.
vlabodo [156]

Answer:

y=-2x-13

Step-by-step explanation:

y-y1=m(x-x1)

y-(-13)=-2(x-0)

y+13=-2x

y=-2x-13

3 0
2 years ago
An insurance company has 25,000 automobile policy holders. If the yearly claim of a policy holder is a random variable with mean
telo118 [61]

Answer:

P(T>8300000)=1-P(T

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Data given

n = 25000 represent the automobile policy holders

\mu= 320 represent the population mean

\sigma =540 represent the population standard deviation

Let T the variable that represent the total of interest on this case. We can assume that the random variable for an individual policy holder is given by:

X\sim N(\mu = 540, \sigma=540)

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

Solution to the problem

First we need to find the distribution for the random variable T like this:

\bar X = \frac{\sum_{i=1}^n x_i}{n}

And the total T is given by:

T=\sum_{i=1}^n X_i =n \bar X

We can find the expected value, variance and deviation for this random variable like this:

E(T)= n E(\bar X) = n \mu = 25000*320=8000000

Var(T)= Var(n\bar X)= n^2 Var(\bar X) = n^2 \frac{\sigma^2}{n}=n \sigma^2 =25000*(540^2)=7290000000

Sd(T)=\sqrt{7290000000}=85381.497

And we are interested on this probability:

P(T>8300000)

And we can use the Z score formula given by:

Z=\frac{T-E(T)}{\sigma_T}

P(T>8300000)=1-P(T

6 0
3 years ago
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