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snow_tiger [21]
3 years ago
9

How do the areas of the parallelogram compare?

Mathematics
2 answers:
Kaylis [27]3 years ago
7 0

Solution:

Area of Parallelogram = Base × Height

Opposite Sides of Parallelogram are equal.

⇒  Area of Parallelogram 1 ,

Since it is a Rectangle , because Adjacent sides have angle between their legs has measure equal to 90°.

Product of slopes

    =\frac{6-2}{2-0} \times \frac{2-0}{0-4}\\\\=2 \times \frac{-1}{2}\\\\= -1

Area of Rectangle=Length × Breadth

        =\sqrt{(2-0)^2+(6-2)^2}\times \sqrt{(0-4)^2 \times (2-0)^2}}\\\\=\sqrt{20}\times \sqrt{20}\\\\=20 Square units

⇒Area of Parallelogram 2,

\text{Base}=\sqrt{(2-0)^2+(-8+2)^2}\\\\=\sqrt{40}\\\\=2\sqrt{5}\\\\Height=\sqrt{[2-(-0.4)]^2+[0-(-1)]^2}=\sqrt{5.76+1}\\\\=\sqrt{6.76}\\\\=2.6

Height =2.6 units

   =\sqrt{40} \times 2.6\\\\=6.23 \times 2.6\\\\=16 \text{Square units}Approx

⇒≡ Difference in Area

=Area of Parallelogram 1 - Area of Parallelogram 2

    =20 -16

  =4 Square units  

Option A:

  Area of Parallelogram 1 is 4 unit greater than area of Parallelogram 2.

IrinaK [193]3 years ago
5 0
The first choice is right, area of 1 is 20, area of 2 is 16
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The weight of a product is normally distributed with a mean of four ounces and a variance of .25 squared ounces. What is the pro
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Answer:

P(X>3.75)=P(\frac{X-\mu}{\sigma}>\frac{3.75-\mu}{\sigma})=P(Z>\frac{3.75-4}{0.5})=P(z>-0.5)

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Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

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Let X the random variable that represent the weights of a population, and for this case we know the distribution for X is given by:

X \sim N(4,\sqrt{0.25}=0.5)  

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We are interested on this probability

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z=\frac{x-\mu}{\sigma}

If we apply this formula to our probability we got this:

P(X>3.75)=P(\frac{X-\mu}{\sigma}>\frac{3.75-\mu}{\sigma})=P(Z>\frac{3.75-4}{0.5})=P(z>-0.5)

And we can find this probability using the complement rule and we got:

P(z>-0.5)=1-P(z

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Step-by-step explanation:

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