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castortr0y [4]
3 years ago
11

Prove: The segments joining the midpoints of the opposite sides of a quadrilateral bisect each other.

Mathematics
2 answers:
Fantom [35]3 years ago
7 0

Quadrilateral ABCD as EFGH, going dextrorotary from the higher left.

 

E (x1, y1)

F (x2, y2)

G (x3, y3)

H (x4, y4)

 

midpoint of EF is (X1 + x2) / 2, (y1 + y2) / 2

midpoint of GH is (x3 + x4) / 2, (y3 + y4) / 2

midpoint of EH is (x1 + x3) / 2. (y1 + y3) / 2

midpoint of FG is (x2 + x3) / 2, (y2 + y3) / 2

 

The midpoints of each bisector square measure so (x1 + x2 + x3 + x4) / 2, (y1 + y2 + y3 + y4) / 2

 

<em>end of proof </em>

<h2>Further explanation </h2>

The midpoint is the center of the circle which, if measured by the fingers, is always the same (the finger). The midpoint or center point is the point that is in the middle of the circle.

The midpoint of the line segment is the point that is located right in the middle of the two endpoints. Thus, the midpoint is the average of the two endpoints, which is the average of two x coordinates and two y coordinates.

The midpoint formula can be used by adding the x coordinates of two endpoints and dividing the results by two, and then adding the y coordinates of the endpoints and dividing by two. This is how you find the average x and y coordinates of the endpoints. Here's the formula: [(x1 + x2) / 2, (y1 + y2) / 2]

learn more

Calculate the Midpoint brainly.com/question/9404333

the formula brainly.com/question/11740317

details

class: high school

subject: mathematics

keywords: midpoint, formula, coordinates

zhuklara [117]3 years ago
4 0

Answer:

R=(\dfrac{b}{2},0)

S=(\dfrac{b+c}{2},\dfrac{d}{2})

T=(\dfrac{c+e}{2},\dfrac{d+f}{2})

U=(\dfrac{e}{2},\dfrac{f}{2})

M=(\dfrac{b+c+e}{4},\dfrac{d+f}{4})

M=(\dfrac{c+b+e}{4},\dfrac{d+f}{4})

Step-by-step explanation:

We are given coordinates as:

A(0,0)\ ,\ B=(b,0)\ ,\ C=(c,d)\ ,\ D=(e,f)\\\\R=(\dfrac{b}{2},0)\ ,\ S=(\dfrac{b+c}{2},\dfrac{d}{2})\ ,\ U=(\dfrac{e}{2},\dfrac{f}{2})\ ,\ T=(\dfrac{c+e}{2},\dfrac{d+f}{2})

Now, it is given that M is the mid-point of the line segment RT and of US.

Hence, the coordinates of M is given as:

By taking the mid-point of side RT.

M=(\dfrac{\dfrac{b}{2}+\dfrac{c+e}{2}}{2},\dfrac{0+\dfrac{d+f}{2}}{2}})\\\\\\i.e.\\\\\\M=(\dfrac{b+c+e}{4},\dfrac{d+f}{4})

By taking the mid-point of side US.

M=(\dfrac{\dfrac{e}{2}+\dfrac{b+c}{2}}{2},\dfrac{\dfrac{f}{2}+\dfrac{d}{2}}{2})\\\\\\i.e.\\\\\\M=(\dfrac{b+c+e}{4},\dfrac{d+f}{4})

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At one point the average price of regular unleaded gasoline was ​$3.39 per gallon. Assume that the standard deviation price per
irinina [24]

This question was not written completely

Complete Question

At one point the average price of regular unleaded gasoline was ​$3.39 per gallon. Assume that the standard deviation price per gallon is ​$0.07 per gallon and use​ Chebyshev's inequality to answer the following.

​(a) What percentage of gasoline stations had prices within 3 standard deviations of the​ mean?

​(b) What percentage of gasoline stations had prices within 2.5 standard deviations of the​ mean? What are the gasoline prices that are within 2.5 standard deviations of the​ mean?

​(c) What is the minimum percentage of gasoline stations that had prices between ​$3.11 and ​$3.67​?

Answer:

a) 88.89% lies with 3 standard deviations of the mean

b) i) 84% lies within 2.5 standard deviations of the mean

ii) the gasoline prices that are within 2.5 standard deviations of the​ mean is $3.215 and $3.565

c) 93.75%

Step-by-step explanation:

Chebyshev's theorem is shown below.

1) Chebyshev's theorem states for any k > 1, at least 1-1/k² of the data lies within k standard deviations of the mean.

As stated, the value of k must be greater than 1.

2) At least 75% or 3/4 of the data for a set of numbers lies within 2 standard deviations of the mean. The number could be greater.μ - 2σ and μ + 2σ.

3) At least 88.89% or 8/9 of a data set lies within 3 standard deviations of the mean.μ - 3σ and μ + 3σ.

4) At least 93.75% of a data set lies within 4 standard deviations of the mean.μ - 4σ and μ + 4σ.

​

(a) What percentage of gasoline stations had prices within 3 standard deviations of the​ mean?

We solve using the first rule of the theorem

1) Chebyshev's theorem states for any k > 1, at least 1-1/k² of the data lies within k standard deviations of the mean.

As stated, the value of k must be greater than 1.

Hence, k = 3

1 - 1/k²

= 1 - 1/3²

= 1 - 1/9

= 9 - 1/ 9

= 8/9

Therefore, the percentage of gasoline stations had prices within 3 standard deviations of the​ mean is 88.89%

​(b) What percentage of gasoline stations had prices within 2.5 standard deviations of the​ mean?

We solve using the first rule of the theorem

1) Chebyshev's theorem states for any k > 1, at least 1-1/k² of the data lies within k standard deviations of the mean.

As stated, the value of k must be greater than 1.

Hence, k = 3

1 - 1/k²

= 1 - 1/2.5²

= 1 - 1/6.25

= 6.25 - 1/ 6.25

= 5.25/6.25

We convert to percentage

= 5.25/6.25 × 100%

= 0.84 × 100%

= 84 %

Therefore, the percentage of gasoline stations had prices within 2.5 standard deviations of the​ mean is 84%

What are the gasoline prices that are within 2.5 standard deviations of the​ mean?

We have from the question, the mean =$3.39

Standard deviation = 0.07

μ - 2.5σ

$3.39 - 2.5 × 0.07

= $3.215

μ + 2.5σ

$3.39 + 2.5 × 0.07

= $3.565

Therefore, the gasoline prices that are within 2.5 standard deviations of the​ mean is $3.215 and $3.565

​(c) What is the minimum percentage of gasoline stations that had prices between ​$3.11 and ​$3.67​?

the mean =$3.39

Standard deviation = 0.07

Applying the 2nd rule

2) At least 75% or 3/4 of the data for a set of numbers lies within 2 standard deviations of the mean. The number could be greater.μ - 2σ and μ + 2σ.

the mean =$3.39

Standard deviation = 0.07

μ - 2σ and μ + 2σ.

$3.39 - 2 × 0.07 = $3.25

$3.39 + 2× 0.07 = $3.53

Applying the third rule

3) At least 88.89% or 8/9 of a data set lies within 3 standard deviations of the mean.μ - 3σ and μ + 3σ.

$3.39 - 3 × 0.07 = $3.18

$3.39 + 3 × 0.07 = $3.6

Applying the 4th rule

4) At least 93.75% of a data set lies within 4 standard deviations of the mean.μ - 4σ and μ + 4σ.

$3.39 - 4 × 0.07 = $3.11

$3.39 + 4 × 0.07 = $3.67

Therefore, from the above calculation we can see that the minimum percentage of gasoline stations that had prices between ​$3.11 and ​$3.67​ corresponds to at least 93.75% of a data set because it lies within 4 standard deviations of the mean.

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