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const2013 [10]
2 years ago
14

I know the frist when is 3/14 i just need help on the decimal and precent

Mathematics
1 answer:
9966 [12]2 years ago
4 0

Answer:

3/14 in decimal is 0.21428571428571

3/14 percent is 21.4

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Thepotemich [5.8K]

Answer:

B

Step-by-step explanation:

below 0 is negative

so -15

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Find the inverse of each function.
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dunno

Step-by-step explanation:

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3 years ago
Suppose the horses in a large stable have a mean weight of 1467lbs, and a standard deviation of 93lbs. What is the probability t
krok68 [10]

Answer:

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

In this problem, we have that:

\mu = 1467, \sigma = 93, n = 49, s = \frac{93}{\sqrt{49}} = 13.2857

What is the probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable?

This is the pvalue of Z when X = 1467 + 9 = 1476 subtracted by the pvalue of Z when X = 1467 - 9 = 1458.

X = 1476

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

By the Central Limit Theorem

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

Z = \frac{1476 - 1467}{13.2857}

Z = 0.68

Z = 0.68 has a pvalue of 0.7517

X = 1458

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

Z = \frac{1458 - 1467}{13.2857}

Z = -0.68

Z = -0.68 has a pvalue of 0.2483

0.7517 - 0.2483 = 0.5034

0.5034 = 50.34% probability that the mean weight of the sample of horses would differ from the population mean by less than 9lbs if 49 horses are sampled at random from the stable

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3 years ago
We bought five 3 3/4 pound bags of bird seed.
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Evaluate the double integral. 2y2 dA, D is the triangular region with vertices (0, 1), (1, 2), (4, 1) D
zubka84 [21]

Answer:

\mathbf{\iint _D y^2 dA=  \dfrac{22}{3}}

Step-by-step explanation:

From the image attached below;

We need to calculate the limits of x and y to find the double integral

We will notice that y varies from 1 to 2

The line equation for (0,1),(1,2) is:

y-1 = \dfrac{2-1}{1-0}(x-0)

y - 1 = x

The line equtaion for (1,2),(4,1) is:

y-2 = \dfrac{1-2}{4-1}(x-1) \\ \\ y-2 = -\dfrac{1}{3}(x-1)

-3(y-2) = (x -1)

-3y + 6 = x - 1

-x = 3y - 6 - 1

-x = 3y  - 7

x = -3y + 7

This implies that x varies from y - 1 to -3y + 7

Now, the region D = {(x,y) | 1 ≤ y ≤ 2, y - 1 ≤ x ≤ -3y + 7}

The double integral can now be calculated as:

\iint _D y^2 dA= \int ^2_1 \int ^{-3y +7}_{y-1} \ 2y ^2  \ dx \ dy

\iint _D y^2 dA= \int ^2_1 \bigg[ 2xy ^2 \bigg]^{-3y+7}_{y-1}  \ dy

\iint _D y^2 dA= \int ^2_1 \bigg[2(-3y+7)y^2-2(y-1)y^2 \bigg ]  \ dy

\iint _D y^2 dA= \int ^2_1 \bigg[-6y^3 +14y^2 -2y^3 +2y^2 \bigg ]  \ dy

\iint _D y^2 dA= \int ^2_1 \bigg[-8y^3 +16y^2  \bigg ]  \ dy

\iint _D y^2 dA=  \bigg[-8(\dfrac{y^4}{4})  +16(\dfrac{y^3}{3})\bigg ] ^2_1

\iint _D y^2 dA=  \bigg[-8(\dfrac{16}{4}-\dfrac{1}{4})  +16(\dfrac{8}{3}-\dfrac{1}{3})\bigg ]

\iint _D y^2 dA=  \bigg[-8(\dfrac{15}{4})  +16(\dfrac{7}{3})\bigg ]

\iint _D y^2 dA=  -30 + \dfrac{112}{3}

\iint _D y^2 dA=  \dfrac{-90+112}{3}

\mathbf{\iint _D y^2 dA=  \dfrac{22}{3}}

4 0
3 years ago
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