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aleksley [76]
3 years ago
9

If the ratio of boys to girls in a classroom is 2:3 and there are 10 boys, how many girls are there? Please answer thank you!

Mathematics
2 answers:
MakcuM [25]3 years ago
7 0
Answer:
15 girls

Explanation:
We know that the ratio of boys to girls in the classroom is 2:3, meaning that for every 2 boys there are 3 girls.

Now, we can set up a proportion to solve this problem.

Please see the picture attached.

I hope this helps!

weqwewe [10]3 years ago
5 0

Answer:

there are 15 girls in a classroom

Step-by-step explanation:

lets make it simple and short.

given:

ratio of boys to girls in a classroom is 2:3

there are 10 boys in a class room

find:

how many girls are there?

<u>use ratio and proportion</u>

<u>  2   </u>  =  <u>  3     </u>

  10       girls  

2*girls = 10 * 3

2 girls = 30

girls = 30 / 2

girls = 15

therefore,

there are 15 girls in a classroom

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The answer would be A) 2,640.

In order to find this we must first find an amount of people per square feet. Since we are given that 10 people fit in a 5x5 square, we know that 10 people fit in 25 square feet. This will be the basis for our final calculation.

Now we need to find how many square feet we have. Since it is a quarter of a mile long, we'll divide the number of feet in a mile by 4.

5,280/4 = 1320.

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3 years ago
A psychological experiment was conducted to investigate the length of time (time delay) between the administration of a stimulus
aleksklad [387]

Answer:

The P-value of this sample is 0 and is less than the significance level (0.05), so the effect is significant and the null hypothesis is rejected.

As there is significant evidence to reject H_0: \mu= 1.6, we can say that there is significant evidence to claim that the mean time delay for the hypothetical population of all persons who may be subjected to the stimulus differs from 1.6 seconds.

The significance level for this test is 0.05.

Step-by-step explanation:

In this case, we want to prove if there is significant evidence that the mean differs from 1.6 seconds. That is the same as having evidence to reject the the hypothesis H_0:\mu= 1.6 (the null hypothesis always have the equal sign).

We have to test the null hypothesis

H_0:\mu= 1.6

The significance level for this test is 0.05

Calculation of the t-statistic:

t=\frac{M-\mu}{s/\sqrt{n}} =\frac{2.2-1.6}{0.57/\sqrt{36}} =\frac{0.6}{0.063}= 9.47

If we look up in a t-table for t=9.47 and df=(36-1)=35, we get this value appears with a probability of zero. A large number like that is very unlikely to happen.

The P-value of this sample is 0 and is less than the significance level (0.05), so the effect is significant and the null hypothesis is rejected.

As there is significant evidence to reject H_0: \mu= 1.6, we can say that there is significant evidence to claim that the mean time delay for the hypothetical population of all persons who may be subjected to the stimulus differs from 1.6 seconds.

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3 years ago
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defon

Answer:

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Step-by-step explanation:

#5:

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#7:

\frac{40-15}{5+6}=\frac{25}{11}=2\frac3{11}

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