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Vsevolod [243]
3 years ago
12

The fountain is made up of two semicircles and a quarter circle. Find the perimeter and the area of the fountain. Round the peri

meter to the nearest tenth of a foot and the area to the nearest square foot. Both have the diameter 20

Mathematics
2 answers:
VikaD [51]3 years ago
7 0

The perimeter of the fountain is actually 94.2, not 94.3

scZoUnD [109]3 years ago
3 0
The complete question in the attached figure

we know that
[area of a circle]=pi*r²
[length of the circumference]=2*pi*r

Part A) 
(2 half circles=1 whoole circle)
radius r=20/2----> r=10 ft
[area 2 half circles]=pi*r²----> pi*10²----> 314.16 ft²

[perimeter 2 half circles]=2*pi*r-----> 2*pi*10----> 62.83 ft

Part B)  1/4 big circle
diameter=40 ft
radius=20 ft
[area 1/4 big circle]=pi*r²/4-----> pi*20²/4---> 314.16 ft²
[perimeter of 1/4 big circle]=2*pi*r/4-----> pi*20/2----> 31.42 ft

[area of the fountain]=314.16+314.16-----> 628.32 ft²------> 628 ft²
[perimeter <span> of the fountain]=62.83+31.42-----> 94.25 ft</span>  -------> 94.3 ft

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Hope this helps :)

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2.10 Guessing on an exam: In a multiple choice exam, there are 6 questions and 4 choices for each question (a, b, c, d). Nancy h
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Answer:

a) p = (3/4)^5 *(1/4) =0.0593

b) P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244

c) P(X \geq 1)

And we can use the complement rule like this:

P(X \geq 1) = 1-P(X

P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798

And replacing we have:

P(X \geq 1) = 1-P(X

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

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We can model the number of correct questions answered with a binomial distribution X \sim Binom(n = 6, p = 1/4=0.25)

Solution to the problem

Assuming the following questions:

a) the first question she gets right is the 6th question?  

For this case we want the first 5 questions incorrect and the last one correct, assuming independence we have:

p = (3/4)^5 *(1/4) =0.0593

(b) she gets all of the questions right?

For this case we want all the questions right so then we want this:

P(X=6) = (6C6) (0.25)^6 (1-0.25)^{6-6}= 0.000244

(c) she gets at least one question right?

For this case we want this probability:

P(X \geq 1)

And we can use the complement rule like this:

P(X \geq 1) = 1-P(X

P(X=0) = (6C0) (0.25)^0 (1-0.25)^{6-0}= 0.17798

And replacing we have:

P(X \geq 1) = 1-P(X

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Answer:

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Step-by-step explanation:

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