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Stells [14]
2 years ago
6

Bart found 20 quadrilaterals in his classroom. He made a Venn diagram using the properties of the quadrilaterals, comparing thos

e with four equal side lengths (E) and those with four right angles (R).
Given that a randomly chosen quadrilateral has four right angles, what is the probability that the quadrilateral also has four equal side lengths? Express your answer in percent form, rounded to the nearest whole percent.

___%
Mathematics
2 answers:
Elza [17]2 years ago
7 0

Number of Quadrilateral made by Bart in the classroom = 20

R =Number of quadrilateral having four right angles = {Square , Rectangle}=2

E=Number of quadrilateral having four equal side lengths = { Rhombus, Square}=2

Total favorable outcome =4 if quadrilateral with special properties are selected

Or

Total favorable outcome = 20 , if all quadrilateral is selected.

Out of Randomly selected quadrilateral which has four right angles,  the quadrilateral which  has four equal side lengths = R ∩ E ={Square}=1

Required probability= \frac{\text{Total favorable Outcome}}{\text{Total Possible Outcome}}=\frac{1}{20} or \frac{1}{4}.

Which is 5% if Total number of Quadrilateral = 20

And , 25% if total number of Quadrilateral selected = 4

kolbaska11 [484]2 years ago
5 0

The correct answer is:

A. 25%

Given that a randomly chosen quadrilateral has four right angles, the probability that the quadrilateral also has four equal side lengths is 25%.

|Huntrw6|

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Step-by-step explanation:

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<u>x</u>    <u>f(x)</u>

-2   3/4

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0    3

1     6

2    12

The exponential funtion has the next form:

f(x) = a(b)^x

At x = 0, f(x) = a. Then, a = 3

Isolating b from the equation:

f(x)/a = b^x

ln(f(x)/a) = x*ln(b)

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At x = 1, f(x) = 6. Then:

[ln(6/3)]/1 = ln(b)

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Jordan had the following scores on her math tests last quarter: 96, 89, 79, 85, 87, 94,
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b) None

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We now find the absolute value of the distance of each value from the mean.

This is called the absolute deviation

{|96-90.5|,|89-90.5|,|79-90.5|,|85-90.5|,|87-90.5|,|94-90.5|,|96-90.5|,|98-90.5|}

{5.5,1.5,11.5,5.5,3.5,3.5,5.5,7.5}

We now find the mean of the absolute deviations

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The least absolute deviation is 1.5. This is not within one absolute deviation.

Therefore none of the data set is closer than one mean absolute deviation away from  the mean.

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