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BabaBlast [244]
3 years ago
7

Please answer the following question

Mathematics
1 answer:
PSYCHO15rus [73]3 years ago
3 0

Answer:

○ B \displaystyle Associative\:Property\:of\:Multiplication

Step-by-step explanation:

This may look like the <em>Commutative</em><em> </em><em>Property</em><em> </em><em>of</em><em> </em><em>Multiplication</em><em> </em>because of the order they are put in, however, since we have GROUPING SYMBOLS, this would be known as the Associative Property of Multiplication.

I am joyous to assist you anytime.

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Kim decides to give her old toys to her younger cousins. She gives her cousin Sarah 2/3. Then, she gives her cousin Ryan 2/5 of
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Step-by-step explanation:

Work backwards:

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3 years ago
It's an overcast day in Hayward and you're waiting for AC Transit 97 Bus Line to show up. Your weather app says there's a 30% ch
melomori [17]

Answer:

a

 P(r n L) =  0.12  

b

 P(L) = 0.225

c

  P(\= r | L) =  0.4667

Step-by-step explanation:

The chance that it will rain is  P(r ) = 0.30

 The chance that it does not rain is P(\= r ) = 1 - P(r )

                                                             P(\= r ) = 1 -0.30

                                                              P(\= r ) = 0.70

The probability that the bus run late if it rains is  P(L | r) =  0.4

 The probability that the bus run late if it does not rain is   P(L | \= r) =  0.15

  Generally the probability that it will rain and the bus will be late is mathematically represented as

     P(r n L) =  P(L | r) *  P(r)

=>  P(r n L) =  0.4 *  0.30

=>  P(r n L) =  0.12  

Generally the probability that the bus will be late is mathematically represented as

     P(L) =  P(r) * P(L|r) + P(L | \= r) * P(\= r)

=>  P(L) =  0.30 * 0.4 +0.15*0.70

 =>  P(L) = 0.225

Generally given that the bus ran late,  the probability that the bus it was not raining is mathematically represented as

      P(\= r | L) =  1- P(r | L )

Here  P(r | L ) = \frac{P(r n L)}{P(L)}

=>   P(r | L ) = \frac{0.12}{0.225}

=>   P(r | L ) = 0.533

So

      P(\= r | L) =  1- 0.533

   =>   P(\= r | L) =  0.467

3 0
3 years ago
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