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MA_775_DIABLO [31]
3 years ago
11

PLEASE HELP A bike wheel has a radius of 25 cm. a)How far (rounded to a tenth of unit) does the bike wheel travel in 1 rotation?

b)10 rotations? c)Write an equation relating the distance the bike travels in cm, (d), to the number of wheel rotations (x)? d) How many rotations does the bike wheel make when the bike travels 1 kilometer? Explain or show your reasoning.?​
Mathematics
1 answer:
Yanka [14]3 years ago
8 0

your mom

Step-by-step explanation:

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it is 37.

Step-by-step explanation:

125 - 88 is 37

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What is the mean of the data set? {32, 33, 34, 34, 36, 38, 38, 38, 40, 42}
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In a survey of 400 randomly selected​ people, it was determined that 22 play soccer. What is the probability that a randomly sel
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Answer:

5.5% probability that a randomly selected person plays​ soccer

Step-by-step explanation:

A probability is the number of desired outcomes divided by the number of total outcomes.

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Total outcomes:

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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
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Answer:

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.

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.

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3 years ago
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