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zavuch27 [327]
2 years ago
11

Find the center and radius for the circle, given the equation: x^2-14x+y^2+8=16

Mathematics
1 answer:
pogonyaev2 years ago
8 0
To find the center of a circle, we must first convert into standard form, in which: (x-h)^2 + (y-k)^2 = r^2, where the center is at (h, k) and the radius=r
So we need to convert our equation x^2-14x+y^2+8=16 into that format.
First, separate the x-terms from the
y-terms: x^2-14x
y^2-0
+8-8=16-8 --> = 8
Second, how do we find the factors for x^2-14x+c and y^2-0x+c ?
Take half of 14 and square it: -7×-7=49=c --> so x^2-14x+49 = (x-7)^2
Y is easier because we have no
x-term (since it's 0x), so y^2 +/-0
= (y-0)^2 which = y^2
Third, we have to find the constant to make the 49 work. Since originally we got it to = 8, we needed 49 to complete the (x-7) square. So add 49 to the right side of the "=" and you get 49+8=57
Now it looks like: x^2-14x+49+y^2=57, but we know that it becomes:
(x-7)^2 + (y-0)^2 = 57
Now it is in standard circle format, and our center (h, k) is (7, 0), and our radius becomes the square root of 57.
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A manufacturer of nails claims that only 4% of its nails are defective. A random sample of 20 nails is selected, and it is found
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Answer:

The p-value of the test is 0.0853 > 0.05, which means that there is not enough evidence to reject the manufacturer's claim based on this observation.

Step-by-step explanation:

A manufacturer of nails claims that only 4% of its nails are defective.

At the null hypothesis, we test if the proportion is of 4%, that is:

H_0: p = 0.04

At the alternative hypothesis, we test if the proportion is more than 4%, that is:

H_a: p > 0.04

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 null hypothesis, \sigma is the standard deviation and n is the size of the sample.

4% is tested at the null hypothesis

This means that \mu = 0.04, \sigma = \sqrt{0.04*0.96}

A random sample of 20 nails is selected, and it is found that two of them, 10%, are defective.

This means that n = 20, X = 0.1

Value of the test statistic:

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

z = \frac{0.1 - 0.04}{\frac{\sqrt{0.04*0.96}}{\sqrt{20}}}

z = 1.37

P-value of the test and decision:

Considering an standard significance level of 0.05.

The p-value of the test is the probability of finding a sample proportion above 0.1, which is 1 subtracted by the p-value of z = 1.37.

Looking at the z-table, z = 1.37 has a p-value of 0.9147

1 - 0.9147 = 0.0853

The p-value of the test is 0.0853 > 0.05, which means that there is not enough evidence to reject the manufacturer's claim based on this observation.

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Answer:

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Step-by-step explanation:

  1. Identify the height
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H = 9 units

L = 8 units

A = H × L

A = 9 × 8

A = 72 square units

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