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1 year ago

A quadrilateral has vertices A(4, 5), B(2, 4), Q4, 3), and D(6, 4). Which statement about the quadrilateral is true?

Mathematics

1 answer:

Igoryamba1 year ago

7 0

The true statement about the quadrilateral is ABCD is a rhombus with non-perpendicular adjacent sides.

<h3>How to determine the true statement?</h3>

The coordinates are given as:

A(4, 5), B(2, 4), Q4, 3), and D(6, 4).

Next, we plot the graph of the quadrilateral ABCD

See attachment

From the attached graph, we have the following highlights:

Opposite sides are equal
Opposite sides are parallel
Adjacent sides are not perpendicular

This means that the quadrilateral is ABCD is a rhombus

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Answer:

On average, the workers dig 4.75ft each day. Also, what x and y questions?

Step-by-step explanation:

Take $38/8=4.75$

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2 years ago

Guys it is easy please write an explanation.<br> I will give brainliest answer to the best answer.

Gemiola [76]

Answer:

A.) 193

B.)191

C.)236

D.)128

Step-by-step explanation:

A) 12^2+(8-4)^3-15

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2 years ago

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lisabon 2012 [21]

Answer:

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QUESTION 31

Step-by-step explanation:

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3x+5-5=2x-1-5

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Subtract 2x from both sides

3x-2x=2x-6-2x

QUESTION 32

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2 years ago

Click on all the values for n that make this inequality true. There may be more than one answer.

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Equation: 120 ≥ 10n + 20

Subtract 20 from both sides,

100 ≥ 10n

Divide both sides by 10,
10 ≥ n

It means, it is equal or Smaller than 10.

So, the answers would be: 7, 8, 9, 10

Hope this helps!

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3 years ago

Read 2 more answers

A researcher wanted to see if giving a selective serotonin reuptake inhibitor (anti-depressant) would decrease the number of sel

Delvig [45]

Answer:

a. The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

b. z=-1.6

c. SEM = 2.212

Step-by-step explanation:

The mean of the sample is M=35.

The variance of the sample is s^2=39.125.

The standard deviation of the sample is s=6.255.

<u>Sample mean</u>

<u /> $M=\dfrac{1}{8}\sum_{i=1}^{8}(27+25+32+40+43+37+35+38)\\\\\\ M=\dfrac{277}{8}=35$

<u>Sample variance and standard deviation</u>

<u /> $s^2=\dfrac{1}{(n-1)}\sum_{i=1}^{8}(x_i-M)^2\\\\\\s^2=\dfrac{1}{7}\cdot [(27-(35))^2+(25-(35))^2+(32-(35))^2+(40-(35))^2+(43-(35))^2+(37-(35))^2+(35-(35))^2+(38-(35))^2]\\\\\\$

$s^2=\dfrac{1}{7}\cdot [(58.141)+(92.641)+(6.891)+(28.891)+(70.141)+(5.64)+(0.14)+(11.39)]\\\\\ s^2=\dfrac{273.875}{7}=39.125\\\\\\s=\sqrt{39.125}=6.255$

b. If the population mean is 45, the z-score for M=35 would be:

$z=\dfrac{M-\mu}{\sigma}=\dfrac{35-45}{6.255}=\dfrac{-10}{6.255}=-1.6$

c. The standard error of the mean (SEM) of this group is calculated as:

$SEM=\dfrac{s}{\sqrt{n}}=\dfrac{6.255}{\sqrt{8}}=\dfrac{6.255}{2.828}=2.212$

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3 years ago