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Dennis_Churaev [7]
3 years ago
15

Please help!! Find the exact circumference of the circle.

Mathematics
1 answer:
Olin [163]3 years ago
3 0

Answer:

C) 26π mi

Step-by-step explanation:

1. Find the diameter:

<em>24² + 10² = d²</em>, because of the pythagorean theorem.

Add: 676 = d²

Square root: <em>26 = d</em>, no negatives by domain

2. Find the circumference:

<em>C = dπ</em>

Plug in: C = 26π miles

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Convert and round to the proper Precision or accuracy. 21.4 grams= mg? * O .0214 mg О 214 mg О 214.0 mg O 21,400 mg 00214 mg​
KengaRu [80]

Answer: 21,400 mg

Step-by-step explanation: Multiply the mass value by 1000 .

4 0
3 years ago
Someone Explain to me how 5. Is valid ???
vichka [17]

This is valid through the law of syllogism. If you swap lines 1 and 2, then you'll have this argument:

If I step on a beehive, then I will get stung.

If I get stung by a bee, then it will hurt.

Therefore, if I step on a beehive, then it will hurt

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3 years ago
Help me please due tomorrow!!
Vladimir79 [104]
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6 0
4 years ago
The ability to examine the variability of a solution due to changes in the formulation of a problem is an important part of the
PilotLPTM [1.2K]

Answer:

Sensitivity Analysis

Step-by-step explanation:

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4 0
3 years ago
The mean annual income for people in a certain city is 37 thousand dollars, with a standard deviation of 28 thousand dollars. A
Aloiza [94]

Answer:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

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

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the annual income of a population, and for this case we know the following info:

\mu=37 and \sigma=28  and we are omitting the zeros from the thousand to simplify calculations

We select a sample size of n=50>30.

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

From the central limit theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we want to find this probability:

P( 31 < \bar X< 41)

And we can ue the z score formula given by:

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

And using this formula we got for the limits:

z = \frac{31-37}{\frac{28}{\sqrt{50}}}= -1.515

z = \frac{41-37}{\frac{28}{\sqrt{50}}}= 1.01

So we want to find this probability:

P(-1.515

4 0
3 years ago
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