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jok3333 [9.3K]
3 years ago
14

Which statements are true about quadrilaterals?

Mathematics
1 answer:
natulia [17]3 years ago
4 0
Answer – A, B and C
Out of the four options given, the statements which are true about quadrilaterals are as follows:
A. All squares are rhombuses. (But not all rhombuses are squares)
B. All squares are rectangles (But not every rectangle is a square)
C. All rectangles are parallelograms.
Option D is wrong because trapezoids have only a pair of parallel sides while parallelograms have two pairs of parallel sides <span>
</span>
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x+(10/9)x=(19/9)x=76
x=(76*9/19)=36
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Answer:

its answer is 5z or 5×z

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Sarah and thomas are going bowling. the probability that sarah scores more than 175 is 0.4, and the probability that thomas scor
pychu [463]

When the occurrence of one event say A does not affect the occurrence of another event say B, than the two events are said to be independent such that;

\\  &#10;P(A\cap B)=P(A)\times P(B)

where, P(A) = probability of occurrence of event A

and P(B) = probability of occurrence of event B

(a).

Now, let event A = Sarah scores more than 175

and event B = Thomas scores more than 175

Thus, P(A)= Probability that Sarah scores more than 175 = 0.4

and P(B)= Probability that Thomas scores more than 175 = 0.2

Since, the scores are independent, thus the probability that both Sarah and Thomas scores more than 175 is,

\\  &#10;P(A\cap B)=P(A)\times P(B)\\  &#10;P(A\cap B)= 0.4\times 0.2= 0.08\\

Hence, the required probability is 0.08

(b).

When the occurrence of one event say A affects the occurrence of another event say B, than the two events are said to be dependent such that;

\\  &#10;P(A\cap B)=P(A)\times P(B\setminus A)\\

Now, let event A = Sarah scores more than 175

and event B = Thomas scores more than 175

Thus, P(A)= Probability that Sarah scores more than 175 = 0.4

         P(B)= Probability that Thomas scores more than 175 = 0.2

and P(B|A) = Sarah scores more than Thomas given that Thomas scores more than 175 = 0.3

Thus, the required probability is calculated as follows;

\\  &#10;P(A\cap B)=P(A)\times P(B\setminus A)\\  &#10;P(A\cap B)=0.2\times 0.3=0.06



             



             


7 0
3 years ago
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