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AnnyKZ [126]
2 years ago
11

A B C D Which is my answer ^

Mathematics
1 answer:
iris [78.8K]2 years ago
8 0

Answer:

The correct option is C.

Step-by-step explanation:

It is given that the side length of square is b.

The length of all sides of a square are equal.

From the figure it is noticed that the center of the square is origin. It means half square lies above the x-axis and half is below the x-axis.

Similarly, half of the square lies lefts to the y-axis and half is right to the y axis.

It means the distance between x-coordinate of each vertex and origin is \frac{b}{2}. The distance between y-coordinate  of each vertex from the origin is \frac{b}{2}.

Therefore the vertices are W(\frac{b}{2},\frac{b}{2}),Z(\frac{b}{2},-\frac{b}{2}),S(-\frac{b}{2},\frac{b}{2}),T(-\frac{b}{2},-\frac{b}{2}).

Option C is correct.

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djverab [1.8K]

Answer:

(4,7)

Step-by-step explanation:

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2 years ago
Two parallel lines are cut by a transversal. What is the measure of 1​
navik [9.2K]

Both lines are parallel so using the bottom line you are given angle 7 as being 80 degrees. Angle 5 and 7 form a straight line which is 180 degrees so angle 5 would be 180-80 = 100 degrees.

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Answer: 100 degrees

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3 years ago
Read 2 more answers
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
2 years ago
Find 6 rational numbers between 8 and 9​
Lena [83]

Answer:

Step-by-step explanation:

8,1                              8,2

8,3                            8,4          

8,5                            8,6

4 0
3 years ago
HURRY!
yuradex [85]
-3 x + 1 > y
1/2x -1 (less than or equal to) y

See photo


3 0
2 years ago
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