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emmainna [20.7K]
2 years ago
6

Pls solve find the area shaded part all 3

Mathematics
1 answer:
aleksklad [387]2 years ago
5 0

Answer:

below explained briefly

Step-by-step explanation:

(a) to find the area of parallelogram use the formula:<em> b * h</em> = 30 * 20 = 600m^2

(b) <u>to find the area of shaded of this one: first we need to find the area of rectangle and then area of two triangle and subtract them with rectangle.</u>

area of rectangle : <em>length * width</em> = 25 * 7  = 175 cm^2

area of two triangles = 2<em>(1/2*b*h)</em> = 2 ( 1/2 * 7 * 5 ) = 35 cm^2

area of shaded = 175 - 35 = 140 cm^2

(c) there different methods of finding area of this figure.

<u>one of the famous methods are that we know it a equilateral triangle thus all sides are 60 degree</u>

<em>formula : 1/2 * a * b * sin(C)</em>

using this formula : 1/2 * 8 * 8 * sin( 60 )

                              : 27.7 cm^2

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Answer:

a) The difference is of 3.222 lbs.

b) 1.64 standard deviations.

c) Z = 1.64

d) Not significant, as the z-score of 1.64 is between -2 and 2.

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.

The mean of all of the weights is x=2.088 ​lb, and the standard deviation of the weights is s=1.968 lb.

This means that \mu = 2.088, \sigma = 1.968

a. What is the difference between the weight of 5.31 lb and the mean of the​ weights?

This is X - \mu = 5.31 - 2.088 = 3.222

The difference is of 3.222 lbs.

b. How many standard deviations is that​ [the difference found in part​ (a)]?

This is the z-score. So

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

Z = \frac{5.31 - 2.088}{1.968}

Z = 1.64

1.64 standard deviations.

c. Convert the weight of 5.31 lb to a z score.

Z = 1.64, as found above.

d. If we consider weights that convert to z scores between −2 and 2 to be neither significantly low nor significantly​ high, is the weight of 5.31 lb​ significant?

Not significant, as the z-score of 1.64 is between -2 and 2.

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3 years ago
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