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3 years ago

Which is equivalent to "12 chairs for every 3 tables"?

Mathematics

2 answers:

trapecia [35]3 years ago

7 0

The answer is A ;).

geniusboy [140]3 years ago

5 0

Your answer is a, 2 chairs per 3 tables.

Notice you need 12 chairs for 3 tables.

D says 3 tables per chair, this cannot be the answer.

C says 12 chairs for each table, this cannot be the right answer neither.

B says 3 chairs for every 12 tables, this cannot be the answer.

A says 12 chair per 3 tables, this is the answer it is just worded differently.

If this helped may i have brainliest?

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Alecsey [184]

Answer:

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Step-by-step explanation:

Minus it all

15 minus 6.25 is 8.75

8.75 minus 2.95 equals 5.8

5.8 minus 1.65 equals 4.15

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2 years ago

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olga2289 [7]

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Step-by-step explanation:Btw put

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2 years ago

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3 years ago

Lou eats 6/8 of pizza. what fraction of the pizza is left over?

AfilCa [17]

So, if the pizza is cut into 8 slices that would mean we just have to subtract 6 - 8 = 2 so your answer is 2/8 of the pizza is left

Hope this helped!

4 0

3 years ago

The amounts of nicotine in a certain brand of cigarette are normally distributed with a mean of 0.917 g and a standard deviation

Nutka1998 [239]

Answer:

$z = \frac{0.872-0.917}{\frac{0.303}{\sqrt{37}}}= -0.903$

And we can find this probability to find the answer:

$P(z$

And using the normal standar table or excel we got:

$P(z$

Step-by-step explanation:

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

$X \sim N(0.917,0.303)$

Where $\mu=0.917$ and $\sigma=0.303$

We have the following info from a sample of n =37:

$\bar X= 0.872$ the sample mean

And we want to find the following probability:

$P(\bar X \leq 0.872)$

And we can use the z score formula given by;

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

And if we find the z score for the value of 0.872 we got:

$z = \frac{0.872-0.917}{\frac{0.303}{\sqrt{37}}}= -0.903$

And we can find this probability to find the answer:

$P(z$

And using the normal standar table or excel we got:

$P(z$

6 0

3 years ago