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Salsk061 [2.6K]
4 years ago
14

Wayne's gym locker is a rectangular prism with a width and height of 12

Mathematics
1 answer:
Gnom [1K]4 years ago
7 0

Answer:

Volume = (2890 and 5/8) inches^3

Step-by-step explanation:

Height = 12 and 1/2inches = 25/2

Width = 12 and 1/2inches = 25/2

Length = 6 inches > width = 6 + width

= 6 + (12 and 1/2) = 18 and 1/2

Length = 18 and 1/2 inches = 37/2

Volume of prism = length × breadth × height

Volume of rectangular prism = (25/2)×(25/2)×(37/2)

Volume of rectangular prism = (23125/8) inches^3

Volume of rectangular prism = (2890 and 5/8) inches^3

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3 years ago
A set of data has a mean of 0.5 and a standard deviation of 0.01. A data point of the set has a z-score of 2.5. What does a z-sc
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The amount of soft drink in a bottle is a Normal random variable. Suppose that in 7% of the bottles containing this soft drink t
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Answer:

The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

Step-by-step explanation:

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.

7% of the bottles containing this soft drink there are less than 15.5 ounces

This means that when X = 15.5, Z has a pvalue of 0.07. So when X = 15.5, Z = -1.475.

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

-1.475 = \frac{15.5 - \mu}{\sigma}

15.5 - \mu = -1.475\sigma

\mu = 15.5 + 1.475\sigma

10% of them there are more than 16.3 ounces.

This means that when X = 16.3, Z has a pvalue of 1-0.1 = 0.9. So when X = 16.3, Z = 1.28.

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

1.28 = \frac{16.3 - \mu}{\sigma}

16.3 - \mu = 1.28\sigma

\mu = 16.3 – 1.28\sigma

From above

\mu = 15.5 + 1.475\sigma

So

15.5 + 1.475\sigma = 16.3 – 1.28\sigma

2.755\sigma = 0.8

\sigma = \frac{0.8}{2.755}

\sigma = 0.29

The mean is

\mu = 15.5 + 1.475\sigma = 15.5 + 1.475*0.29 = 15.93

The mean is 15.93 ounces and the standard deviation is 0.29 ounces.

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3 years ago
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fiasKO [112]

Answer:

BC = 10

Step-by-step explanation:

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−9(x + 6) + 60 = 13 − 10x
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Answer:

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Step-by-step explanation:

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