I need help with this rq

Mathematics

2 answers:

Vesnalui [34]2 years ago

7 0

Answer:

228.4

Step-by-step explanation:

9.2 + 9.2 + 60 + 75 +75 which is 228.4. Remember to divide the triangles by two after you do base times height.

SVETLANKA909090 [29]2 years ago

5 0

Answer and Step-by-step explanation:

To find the surface area, we find the area of all the shapes in the prism, then add them together.

Triangles:

(4 × 4.6) ÷ 2 = 18.4 ÷ 2 = 9.2

Rectangle 1:

4 × 15 = 60

Rectangle 2 and 3:

5 × 15 = 75

9.2 + 9.2 + 60 + 75 + 75 = 228.4

228.4 is the total surface area.

#teamtrees #PAW (Plant And Water)

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What is the length of the diagonal of the triangle?

Setler79 [48]

Answer:

21.25

Step-by-step explanation:

use the Pythagorean theorem, it is given that the shape is a rectangle so all opposite sides are congruent and all angles are right, since we know that the diagonal forms a right triangle we can use the pythagorean theorem

the Pythagorean theorm is a^2+b^2=c^2 where a and b are the legs (in this case the side of the triangle) and c is the hypotenuse which is the longest side in a right triangle

17^2+12.75^2=x^2

x^2=7225/16

now take the square root of both sides and you get -21.25 and 21.25

distance CAN NOT be negative so -21.25 isn't an option

7 0

3 years ago

Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What

lakkis [162]

Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

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 5,500 and standard deviation 1,000.

This means that $\mu = 5500, \sigma = 1000$