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aleksley [76]
3 years ago
9

How to find the area of composite polygon that have a base of 16 meters height of 18 meters and a height of 11 meters.

Mathematics
1 answer:
LenaWriter [7]3 years ago
8 0

The area of the composite polygon is:

\boxed{A_{T}=376 \ m^2}

<h2>Explanation:</h2><h2 />

Hello! remember you have to write complete questions in order to get good and exact answers. Here you haven't provided any figure, so I'll choose the figure below in order to illustrate this problem. A composite polygon is a polygon that can be divided into two or more basic shapes. So here we have a composite polygon formed by a triangle and a rectangle. So:

A_{total}=A_{T} \\ \\ A_{triangle}=A_{tr} \\ \\ A_{rectangulo}=A_{r} \\ \\ \\ A_{tr}=\frac{b\times h}{2} \\ \\ b:Base \ of \ the \ triangle \\ \\ h:height \ of \ the \ triangle \\ \\ \\ A_{r}=B\times H \\ \\ B:base \ of \ the \ rectangle \\ \\ H:height \ of \ the \ rectangle

So the area of the composite figure is:

A_{T}=\frac{16\times 11}{2} + 16\times 18 \\ \\ A_{T}=88+288 \\ \\ \boxed{A_{T}=376 \ m^2}

<h2>Learn more:</h2>

Dilation: brainly.com/question/10946046

#LearnWithBrainly

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sdas [7]

Answer:

a)  Poisson distribution

use a  Poisson distribution model when events happen at a constant rate over time or space.

Step-by-step explanation:

<u> Poisson distribution</u>

  • Counts based on events in disjoint intervals of time or space produce a Poisson random variable.
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use a  Poisson distribution model when events happen at a constant rate over time or space.

<u>Hyper geometric probability distribution</u>:-

The Hyper geometric probability distribution is a discrete probability distribution that describes the probability of successes (random draws for which the object drawn has a specified feature) in draws without replacement, from a finite population of size that contains exactly objects with that feature where in each draw is either a success or failure.

This is more than geometric function so it is called the <u>Hyper geometric probability distribution </u>

<u></u>

<u>Binomial distribution</u>

  • The number of successes in 'n' Bernoulli trials produces a <u>Binomial distribution </u>. The parameters are size 'n' success 'p' and failure 'q'
  • The binomial model uses a binomial random variable to describe counts of success observed for a real phenomenon.

Finally use a Binomial distribution when you recognize distinct Bernoulli trials.

<u>Normal distribution</u>:-

  • <u>normal distribution is a continuous distribution in which the variate can take all values within a range.</u>
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3 0
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3 years ago
To the nearest tenth, what is the value of P(C|Y)? 0.4 0.5 0.7 0.8
erica [24]

Answer:

P(C|Y) = 0.5.

Step-by-step explanation:

We are given the following table below;

               X             Y               Z             Total

A             32           10             28              70

B              6             5              25              36

C             18            15              7                40

Total       56           30            60              146

Now, we have to find the probability of P(C/Y).

As we know that the conditional probability formula of P(A/B) is given by;

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So, according to our question;

P(C/Y) =  \frac{P(C \bigcap Y)}{P(Y)}

Here, P(Y) = \frac{30}{146} and P(C \bigcap Y) =  \frac{15}{146}  {by seeing third row and second column}

               

Hence, P(C/Y) =  \frac{\frac{15}{146} }{\frac{30}{146} }

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OlgaM077 [116]

Answer:

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170

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4 0
3 years ago
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