Which statement best explains conditional probability and independence? When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore, P(A)=P(B) and P(A|B)=P(A).

When two separate events, A and B, are independent, P(A|B)=P(A). This means that the probability that event B occurred first has no effect on the probability of event A occurring next.

When two separate events, A and B, are independent, the probability of either event occurring is the same. Therefore, P(A)=P(B) and P(A|B)=P(B).

When two separate events, A and B, are independent, P(A|B)=P(B). This means that the probability that event A occurred first has no effect on the probability of event B occurring next.

its definatley   this on your answer choice?

answer   download the app called socratic on your phoner:

step-by-step explanation:

find the magnitude of the trig term  

csc

(

x

)

−

1

by taking the absolute value of the coefficient.

1

find the lower bound of the range.

tap for more

y

=

−

2

find the upper bound of the range.

tap for more

y

=

0

the range is  

y

≤

−

2

or  

y

≥

0

.

(

−

∞

,

−

2

]

∪

[

0

,

∞

)

{

y

|

y

≤

−

2

,

y

≥

0

}

step-by-step explanation:

b: |12 – x| ≤ 0.25

step-by-step explanation:      

let x be the possible lengths in inches, of the ribbons jaime cut.

we have been given that jaime is cutting strips of ribbon for a project. he tries to cut each piece to be 12 inches long, but sometimes he cuts it too long or too short by as much as 0.25 inch.  

we can represent this information in an inequality as:

by the definition of absolute value function we will get,

upon combining our inequalities we will get,

therefore, the inequality   describes all the possible lengths (x), in inches, of the ribbons jaime cut.

step-by-step explanation: