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Aneli [31]
3 years ago
5

If some one has a circle that is 3 radius what is the diameter​

Mathematics
2 answers:
Mariana [72]3 years ago
6 0

The diameter is 6 because radius is half of the diameter. And 3 times 2 is 6.

Hope that helps! :)

NemiM [27]3 years ago
5 0

Answer:

The diameter is 6

Step-by-step explanation:

the radius is just half of the diameter so 2x3= 6

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Gennadij [26K]

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yes

Step-by-step explanation:

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In 2008 the Better Business Bureau settled 75% of complaints they received (USA Today, March 2, 2009). Suppose you have been hir
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Explained below.

Step-by-step explanation:

According to the Central limit theorem, if from an unknown population large samples of sizes n > 30, are selected and the sample proportion for each sample is computed then the sampling distribution of sample proportion follows a Normal distribution.

The mean of this sampling distribution of sample proportion is:

 \mu_{\hat p}= p

The standard deviation of this sampling distribution of sample proportion is:

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(a)

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Then according to the central limit theorem the sampling distribution of sample proportion is normally distributed.

The mean and standard deviation are:

\mu_{\hat p}=p=0.75\\\\\sigma_{\hat p}=\sqrt{\frac{p(1-p)}{n}}=\sqrt{\frac{0.75(1-0.75)}{450}}=0.0204

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(b)

Compute the probability that the sample proportion will be within 0.04 of the population proportion as follows:

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Thus, the probability that the sample proportion will be within 0.04 of the population proportion is 0.95.

(c)

The sample selected is of size <em>n</em> = 200 > 30.

Then according to the central limit theorem the sampling distribution of sample proportion is normally distributed.

The mean and standard deviation are:

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So, the sampling distribution of sample proportion is \hat p\sim N(0.75,0.0306^{2}).

(d)

Compute the probability that the sample proportion will be within 0.04 of the population proportion as follows:

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Thus, the probability that the sample proportion will be within 0.04 of the population proportion is 0.81.

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The probability that the sample proportion will be within 0.04 of the population proportion if the sample size is 450 is 0.95.

And the probability that the sample proportion will be within 0.04 of the population proportion if the sample size is 200 is 0.81.

So, there is a gain in precision on increasing the sample size.

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