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Andrew [12]
3 years ago
5

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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It's 96%


816/850 = 0.96, which is 96%

Hope I helped! ( Smiles )
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4 years ago
60=5(1.07)x. what is initial value?​
goldenfox [79]

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The initial value is 11.2149

Step-by-step explanation:

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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
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