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Hatshy [7]
3 years ago
11

PLEASE HELP! ( Drag and Drop USA Test Prep )

Mathematics
1 answer:
Alex17521 [72]3 years ago
4 0
-4x+7>= 27
-4x >= 20
x <= -5

answer is B
-------------------

3x-10<-25
3x < -15
x<-5
answer is A
----------------------
5(x-2)>-15
5x - 10 >-15
5x >-5
x>-1
answer is D
-----------------
x/1 - 9 < -10
x-9<-10
x<-1

answer is C
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Your answer is 406.8. You just multiply 10 by itself, the answer is 100, then you multiply 100 by 4.068.

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3 years ago
Element U has a half life of T billion years. Find the half life of this element if 1/6 of the original amount is left after 11.
olga2289 [7]

Answer:

Step-by-step explanation:

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7 0
4 years ago
Alice searches for her term paper in her filing cabinet, which has several drawers. She knows thatshe left her term paper in dra
katen-ka-za [31]

You made a mistake with the probability p_{j}, which should be p_{i} in the last expression, so to be clear I will state the expression again.

So we want to solve the following:

Conditioned on this event, show that the probability that her paper is in drawer j, is given by:

(1) \frac{p_{j} }{1-d_{i}p_{i}  } , if j \neq i, and

(2) \frac{p_{i} (1-d_{i} )}{1-d_{i}p_{i}  } , if j = i.

so we can say:

A is the event that you search drawer i and find nothing,

B is the event that you search drawer i and find the paper,

C_{k}  is the event that the paper is in drawer k, k = 1, ..., n.

this gives us:

P(B) = P(B \cap C_{i} ) = P(C_{i})P(B | C_{i} ) = d_{i} p_{i}

P(A) = 1 - P(B) = 1 - d_{i} p_{i}

Solution to Part (1):

if j \neq i, then P(A \cap C_{j} ) = P(C_{j} ),

this means that

P(C_{j} |A) = \frac{P(A \cap C_{j})}{P(A)}  = \frac{P(C_{j} )}{P(A)}  = \frac{p_{j} }{1-d_{i}p_{i}  }

as needed so part one is solved.

Solution to Part(2):

so we have now that if j = i, we get that:

P(C_{j}|A ) = \frac{P(A \cap C_{j})}{P(A)}

remember that:

P(A|C_{j} ) = \frac{P(A \cap C_{j})}{P(C_{j})}

this implies that:

P(A \cap C_{j}) = P(C_{j}) \cdot P(A|C_{j}) = p_{i} (1-d_{i} )

so we just need to combine the above relations to get:

P(C_{j}|A) = \frac{p_{i} (1-d_{i} )}{1-d_{i}p_{i}  }

as needed so part two is solved.

8 0
4 years ago
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Blababa [14]

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