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Nutka1998 [239]
3 years ago
13

What is 12% as a fraction in simplest form?

Mathematics
2 answers:
Vadim26 [7]3 years ago
8 0

you convert the 12% so that it becomes a fraction...it becomes 12\100 , then put it in its lowest form ...

Nana76 [90]3 years ago
4 0

Answer:

10

Step-by-step explanation:

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The hour hand of a clock moves -15 degrees every hour how many degrees does it move in 1 1/4 hours
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-18 3/4

Step-by-step explanation:

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He following set of coordinates represents which figure? (1, 1), (5, 3), (7, 7), (3, 5)
Musya8 [376]

There are 4 vertexes, so you know it's a polygon. When you graph these points it looks like the picture I linked below. It's a parallelogram because it has 2 pairs of parallel lines.

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What’s the square route of 169
Mazyrski [523]

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± 13

Step-by-step explanation:

\sqrt{169} = ± 13, since

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3 years ago
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Show your work if you can :)
meriva
I believe it’s just 61/100
5 0
3 years ago
A 1994 Time magazine survey of 507 randomly selected
ElenaW [278]

From the test the parson wants, and the sample data, we build the test hypothesis and find the p-value.

Suppose  someone wants to claim that more than 55% of adult Catholics in the United  States are in favor of allowing women to become priests.

At the null hypothesis, it is tested that the proportion is of at most 55%, that is:

H_0: p \leq 0.55

At the alternative hypothesis, it is tested that the proportion is of more than 55%, that is:

H_1: p > 0.55

Since we are testing only one proportion, it is a one-sample test. Since we are testing only if the proportion is higher/lower, in this case higher, than a value, it is a one-tailed test.

P-value:

To find the p-value of the test, we first have to find the test statistic.

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the nu

0.55 is tested at the null hypothesis:

This means that \mu = 0.55, \sigma = \sqrt{0.55*0.45}

From the sample:

Survey of 507, 59% answer yes, thus: n = 507, X = 0.59

Value of the test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{0.59 - 0.55}{\frac{\sqrt{0.55*0.45}}{\sqrt{507}}}

z = 1.81

P-value from the test statistic:

The p-value of the test is the probability of finding a sample proportion above 1.81, which is 1 subtracted by the p-value of z = 1.81.

Looking at the z-table, z = 1.81 has a p-value of 0.9649.

1 - 0.9649 = 0.0351.

Thus, the p-value of the test is of 0.0351.

For another example of a similar problem, you can check brainly.com/question/24166849

8 0
3 years ago
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