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denpristay [2]
3 years ago
11

What’s the area? Please help!!

Mathematics
2 answers:
vampirchik [111]3 years ago
7 0
We can find the area of each shape separately
The area of the triangle can be found by A = 1/2bh
So the area will be 1/2 times (6+14+6= 26) 26 times 21
The area of the triangle will be 273 ft^2
The area of the square will be A=lxh
So the area will be 14 times 14
So the area of the square will be 196 ft ^2
We then add the area of both shapes together to get the total area
273 + 196 = 469 ft^2
zavuch27 [327]3 years ago
5 0

9514 1404 393

Answer:

  469 square yards

Step-by-step explanation:

The area of the triangle is ...

  A = 1/2bh

  A = 1/2(6+14+6)(21) = 273

The area of the square is ...

  A = s^2 = 14^2 = 196

The total area of the figure is the sum of the parts.

  273 +196 = 469 . . . square yards

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Thickness measurements of ancient prehistoric Native American pot shards discovered in a Hopi village are approximately normally
saveliy_v [14]

Answer:

0.8029 = 80.29% probability that the thickness is between 3.0 and 7.0 mm.

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.

Mean of 4.6 millimeters (mm) and a standard deviation of 1.5 mm.

This means that \mu = 4.6, \sigma = 1.5

Find the probability that the thickness is between 3.0 and 7.0 mm.

This is the pvalue of Z when X = 7 subtracted by the pvalue of Z when X = 3. So

X = 7

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Z = \frac{7 - 4.6}{1.5}

Z = 1.6

Z = 1.6 has a pvalue of 0.9452

X = 3

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

Z = \frac{3 - 4.6}{1.5}

Z = -1.07

Z = -1.07 has a pvalue of 0.1423

0.9452 - 0.1423 = 0.8029

0.8029 = 80.29% probability that the thickness is between 3.0 and 7.0 mm.

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