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Cerrena [4.2K]
3 years ago
7

Please help as soon as possible it's due tomorrow ​

Mathematics
1 answer:
erma4kov [3.2K]3 years ago
7 0

Answer:

378 cm^3

Step-by-step explanation:

V = Bh = l * w * h

since the Base B is 54 (l*w), multiply by 7 to find volume

54 * 7 = 378

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61 divided by 3427?
katrin2010 [14]
61 / 3427= 0.01779982. (rounds up to 0.02 if rounded by hundredths)
8 0
3 years ago
Help me please I beg please but please
stealth61 [152]

Answer:

9. \frac{1}{10} fraction.

10. \frac{3}{10} fraction.

Step-by-step explanation:

In the given table, we get, Andrea hiked \frac{2}{5} of the total trail, Jon hiked \frac{1}{2} of the total trail and Callie hiked \frac{4}{5} of the total trail.

9. Therefore, Jon hiked (\frac{1}{2} - \frac{2}{5}) = \frac{5 - 4}{10} = \frac{1}{10} fraction than Andrea hiked.

10. Therefore, Callie hiked (\frac{4}{5} - \frac{1}{2}) = \frac{8 - 5}{10} = \frac{3}{10} fraction than Jon hiked. (Answer)

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3 years ago
Please help me w/ iready
kirill [66]

Answer:

45 = 45

or

just 45.

Step-by-step explanation:

a = 6 , b = 2

3(6) + 4(2)^3 - 5 = 3(6) + 4(2)^3 - 5 (Given)

18 + 32 - 5 = 18 + 32 - 5 (Solve parenthesis)

45 = 45 (combine like terms)

45 does equal 45 so there is the solution. There is infinite many solutions.

8 0
3 years ago
Which statements are true?
Nimfa-mama [501]
All rectangles are parallelograms. Hope this helps.
4 0
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Read 2 more answers
A grading scale is set up for 1000 students' test scores. It assumes the
astra-53 [7]

Answer:

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

It assumes the scores are normally distributed with a mean score of 75 and a standard deviation of 15.

This means that \mu = 75, \sigma = 15

How many students will score between 48 and 75?

First we find the proportion, which is the pvalue of Z when X = 75 subtracted by the pvalue of Z when X = 48. So

X = 75

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

Z = \frac{75 - 75}{15}

Z = 0

Z = 0 has a p-value of 0.5

X = 48

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

Z = \frac{48 - 75}{15}

Z = -1.8

Z = -1.8 has a p-value of 0.0359

1 - 0.0359 = 0.4641

Out of 1000:

0.4641*1000 = 464

464 students will score between 48 and 75. Using the z-distribution, we measure how many standard deviations each score is from the mean, then find the p-value associated with each score to find the proportion, and from the proportion, we find how many out of 1000.

7 0
3 years ago
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