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3 years ago

I don’t know how to solve this please help

Mathematics

1 answer:

Semenov [28]3 years ago

7 0

Answer:

Only the first point lies on the line and thus, Anders is incorrect

Step-by-step explanation:

Here, we want to show that Anders is incorrect

we simply substitute the values of his coordinates into the equation of the line

for (10,420)

we have;

420 = 40(10) + 20

420 = 420

This is right

We now test the second given point;

-420 = 40(-10) + 20

-420 = -400 + 20

-420 is not -380

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4 years ago

60=5(1.07)x. what is initial value?

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Step-by-step explanation:

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4 years ago

Você tem $ 20 para gastar com o táxi. A corrida custa $5 mais $2,50d 2,50 por quilômetro.

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Answer:

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2 years ago

Todd Holland from NY grows pumpkins. He studied his past records carefully and concluded that his biggest pumpkins are distribut

ehidna [41]

Answer:

$P(X>1000)$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

If we apply this formula to our probability we got this:

$P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)$

And we can find this probability using the complement rule and the normal standard table and we got:

$P(z>1)=1-P(z$

Step-by-step explanation:

Previous concepts

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 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".

Solution problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

$X \sim N(950,50)$

Where $\mu=950$ and $\sigma=50$

We are interested on this probability

$P(X>1000)$

And the best way to solve this problem is using the normal standard distribution and the z score given by:

$z=\frac{x-\mu}{\sigma}$

If we apply this formula to our probability we got this:

$P(X>1000)=P(\frac{X-\mu}{\sigma}>\frac{1000-\mu}{\sigma})=P(Z>\frac{1000-950}{50})=P(z>1)$

And we can find this probability using the complement rule and the normal standard table and we got:

$P(z>1)=1-P(z$

5 0

3 years ago

PLEASE HELP WILL GIVE BRAINLIEST!!

ahrayia [7]

They would be traveling at 47.5 mph

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3 years ago