The answer is true. A conditional probability is a measure
of the probability of an event given that (by assumption, presumption,
assertion or evidence) another event has occurred. If the event of interest is
A and the event B is known or assumed to have occurred, "the conditional
probability of A given B", or "the probability of A in the condition
B", is usually written as P (A|B). The conditional probability of A given
B is well-defined as the quotient of the probability of the joint of events A
and B, and the probability of B.
Number of cups that Fiona has for serving iced tea and lemonade = 44 Number of glasses of iced tea served = x Number of glasses of lemonade served = y Then the equation can be represented by x + y = 44 x = 44 - y
If Quincy finds 120 shells in 4 days, we can use the equation 4x = 120 to find how many shells she found each day.
4x = 120
If we divide both sides by four we get x = 30
So Quincy found 30 shells each day.
