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alukav5142 [94]
3 years ago
5

A cylinder has a height of 14 feet. Its volume is 12,704.44 cubic feet. What is the radius of the cylinder?

Mathematics
1 answer:
Alenkinab [10]3 years ago
3 0
<h3 /><h3>V. Cylinder =  π . r² . h</h3>

12,704.44 = 3.14 × r² × 14

12,704.44 = 3.14 × 14 × r²

12,704.44 = 43.96 × r²

r² = 12,704.44/43.96

r² = 289

r = √289

r = 17

<h3>#CMIIW</h3>

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What is 2/5 ÷ (25% of 1)?​
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Answer:

1.6

Step-by-step explanation:

<h2><u>Solve </u></h2><h3><u>make use of bodmas</u></h3>

b - brackets

o - of

d - -division

m - multiplication

a - addition

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(25% of 1)

means 25/100 *1

= 25/100

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2/5 ÷ 0.25

2/5 = 0.4

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Solve for h.<br> -110 = 13 + 3 (4h - 6)
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Step-by-step explanation:

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A door delivery florist wishes to estimate the proportion of people in his city that will purchase his flowers. Suppose the true
kvv77 [185]

Answer:

99.74% probability that the sample proportion will be less than 0.1

Step-by-step explanation:

I am going to use the binomial approximation to the normal to solve this question.

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

In this problem, we have that:

n = 276, p = 0.06

So

\mu = E(X) = np = 276*0.06 = 16.56

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{276*0.06*0.94} = 3.9454

What is the probability that the sample proportion will be less than 0.1

This is the pvalue of Z when X = 0.1*276 = 27.6. So

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

Z = \frac{27.6 - 16.56}{3.9454}

Z = 2.8

Z = 2.8 has a pvalue of 0.9974

99.74% probability that the sample proportion will be less than 0.1

5 0
4 years ago
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