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3 years ago

How do you write 3/ 4 as a percentage?

Mathematics

2 answers:

arsen [322]3 years ago

8 0

Answer: 75%

Explanation:

A percent is a value out of 100

Change the fraction

to an equivalent fraction with the denominator equal to 100

100

This fraction represents a percent.

100

75%

However, some denominators are not factors of

100

1000

and so on... In that case you use the method:

fraction

100

So for a fraction like

....

100%

63.63636

...

63.6

d.p.

hope this helped! sorry its a little unorganized.. o_o

Neko [114]3 years ago

5 0

Answer:

75%

Step-by-step explanation:

3/4=7.5

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Step-by-step explanation:

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3 years ago

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Answer:

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Step-by-step explanation:

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3 years ago

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Mashcka [7]

Distribute the five to [3q-10]
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3 years ago

Read 2 more answers

To play a game, a number cube with sides numbered 1 through 6 is rolled and a fair coin is flipped.

aleksley [76]

Answer:

16.7%

Step-by-step explanation:

Please check below attachment for sample space table

Firstly, we have the total number of possible results as 12

From the 12, the probability of flipping a head is 6/12

Rolling either a 3 or a 5 is the sum of places we have both divided by the possible total of 12

we have this as ; 2/12 + 2/12 = 4/12

The term ‘AND’ means we have to multiply the two probabilities as follows;

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3 years ago

The distribution of SAT II Math scores is approximately normal with mean 660 and standard deviation 90. The probability that 100

gayaneshka [121]

Using the normal distribution and the central limit theorem, it is found that there is a 0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

<h3>Normal Probability Distribution</h3>

In a normal distribution with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

It measures how many standard deviations the measure is from the mean.

After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.

By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

In this problem:

The mean is of 660, hence $\mu = 660$ .

The standard deviation is of 90, hence $\sigma = 90$ .

A sample of 100 is taken, hence $n = 100, s = \frac{90}{\sqrt{100}} = 9$ .

The probability that 100 randomly selected students will have a mean SAT II Math score greater than 670 is 1 subtracted by the p-value of Z when X = 670, hence:

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem

$Z = \frac{X - \mu}{s}$

$Z = \frac{670 - 660}{9}$

$Z = 1.11$

$Z = 1.11$ has a p-value of 0.8665.

1 - 0.8665 = 0.1335.

0.1335 = 13.35% probability that 100 randomly selected students will have a mean SAT II Math score greater than 670.

To learn more about the normal distribution and the central limit theorem, you can take a look at brainly.com/question/24663213

7 0

2 years ago