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Viefleur [7K]
3 years ago
11

The radius of a circle is 1 millimeter. What is the circle's circumference?

Mathematics
2 answers:
mr Goodwill [35]3 years ago
4 0

Answer:

C = 2pi mm or approximately 6.28 mm

Step-by-step explanation:

The circumference of a circle is given by

C = 2 * pi * r

C = 2 * pi *1

C = 2pi

We can approximate pi by 3.14

C = 2*3.14

C =6.28 mm

slamgirl [31]3 years ago
3 0

Answer:

The circle's circumference is 2 pi ml

Step-by-step explanation:

The formula for the circumference of a circle is 2\pir, or diameter times pi.

In this case, we simply plug into the equation. Using the formula 2\pir, we get 2(1)\pi, or 2\pi ml

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koban [17]

Answer:

It would be B & E

Step-by-step explanation:

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2 years ago
Select the correct answer.
charle [14.2K]

Answer: C

Step-by-step explanation:

4^{-11/3 -(-2/3)=4^{-11/3 + 2/3}=4^{-3}=1/64

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The mean annual cost of an automotive insurance policy is normally distributed with a mean of $1140 and standard deviation of $3
DerKrebs [107]

Using the normal distribution, it is found that the probabilities are given as follows:

a) 0.8871 = 88.71%.

b) 0.0778 = 7.78%.

c) 0.8485 = 84.85%.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, 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}}.

The parameters in this problem are given as follows:

\mu = 1140, \sigma = 310, n = 16, s = \frac{310}{\sqrt{16}} = 77.5

Item a:

The probability is the <u>p-value of Z when X = 1250 subtracted by the p-value of Z when X = 1000</u>, hence:

X = 1250:

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

By the Central Limit Theorem

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

Z = \frac{1250 - 1140}{77.5}

Z = 1.42

Z = 1.42 has a p-value of 0.9222.

X = 1000:

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

Z = \frac{1000 - 1140}{77.5}

Z = -1.81

Z = -1.81 has a p-value of 0.0351.

0.9222 - 0.0351 = 0.8871 = 88.71% probability.

Item b:

The probability is <u>one subtracted by the p-value of Z when X = 1250</u>, hence:

1 - 0.9222 = 0.0778 = 7.78%.

Item c:

The probability is the <u>p-value of Z when X = 1220</u>, hence:

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

Z = \frac{1220 - 1140}{77.5}

Z = 1.03

Z = 1.03 has a p-value of 0.8485.

0.8485 = 84.85% probability.

More can be learned about the normal distribution at brainly.com/question/4079902

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Answer:

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Step-by-step explanation:

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It is 8 because you would do 9x8=72
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