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mr_godi [17]
3 years ago
12

Expression equivalent to 2s + 3s^2

Mathematics
1 answer:
fiasKO [112]3 years ago
8 0

Answer:

s(2+3s)

Step-by-step explanation:

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The sum of 3 times a number and 1 is 17 decreased by the number. What expression will be translated on the left side of the equa
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=0

Step-by-step explanation:


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△RST is similar to triangle △XYZ by the AA Similarity Postulate.
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If 2 triangles are similar then the angle measures are the same so the answer would be 180-(47+23) which is equal to 110 degrees
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3 years ago
What is the perimeter of ABC with vertices at A (-11,4) B(-7,8) and C (-4,4)
Alborosie

Answer:

Step-by-step explanation:

Using the distance formula,

AB=\sqrt{(-11-(-7))^{2}+(4-8)^{2}}=\sqrt{16+16}=4\sqrt{2}\\AC=\sqrt{(-11-(-4))^{2}+(4-4)^{2}}=7\\BC=\sqrt{(-7-(-5))^{2}+(8-4)^{2}}=\sqrt{4+16}=2\sqrt{5}\\\\

So the perimeter is 4\sqrt{2}+7+2\sqrt{5}

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2 years ago
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alexgriva [62]

Answer:

Step-by-step explanation:

Yes what is the problemo! :>

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3 years ago
In the Journal of Shell and Spatial Structures (December 1963), environmental researcher Vivek Ajmani studied the performance of
igomit [66]

Answer:

The standard deviation of the load distribution is of 5102.041 pounds.

Step-by-step explanation:

When the distribution is normal, we use 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.

In this question, we have that:

\mu = 20000

Also, the probability that the load is between 10,000 and 30,000 pounds is 0.95.

10,000 pounds and 30,000 pounds are equidistant from the mean. Due to this, and the probability of 0.95 of having a value in this range, 10000 is the (100-95)/2 = 2.5th percentile and 30000 is the (100+95)/2 = 97.5th percentile. Applying one of them, we find the standard deviation.

30,000 is the 97.5th percentile:

This means that when X = 30000, Z has a pvalue of 0.975. So when X = 30000, Z = 1.96. Then

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

1.96 = \frac{30000 - 20000}{\sigma}

1.96\sigma = 10000

\sigma = \frac{10000}{1.96}

\sigma = 5102.041

The standard deviation of the load distribution is of 5102.041 pounds.

8 0
3 years ago
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