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MariettaO [177]
3 years ago
9

What is the best estimate of 4.92 times 9.86

Mathematics
1 answer:
marshall27 [118]3 years ago
5 0

<em>the exact answer is </em><u><em>48.5 </em></u><em>or in standard calculator form </em><u><em>48.5112</em></u>

       

<u>bai</u>

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In 2013, the population of the state of New York was approximately 19.65 million, and the population of New York City was 8,406,
maks197457 [2]
Population of the state of New York is 19.65 million. 
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So 19.65*10^6

Population of New York city is 8,406,000.
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Therefore people in New York state did not in New York city is,
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3 years ago
A tablet PC contains 3217 music files. The distribution of file size is highly skewed with many small files. Suppose the true me
m_a_m_a [10]

Answer:

Let X the random variable who represents the file sizeof music. We know the following info:

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Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean \bar X is given by:

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

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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 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".

Let X the random variable who represents the file sizeof music. We know the following info:

\mu =2.3,\sigma =3.25

We select a sample of n=50 nails. That represent the sample size.  

Since the sample size is large enough n >30, we can use the central limit theorem. From this 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 can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.

8 0
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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Answer:

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Step-by-step explanation:

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3 years ago
Solve for x and y in the figure below
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Step-by-step explanation:

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optionA

4 0
3 years ago
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