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.
Answer:
SAS, SSS, AAA
Step-by-step explanation:
Because Im bored X D
Answer:
Step-by-step explanation:
-1, - 0.6, - (2/5), - (1/4), - (1/5), 0, 0.2, 0.25, 0.4, (3/4), (4/5), 1
I hope I've helped you.
Answer:
F
Step-by-step explanation:
4x^2 - 4x - 35 = 0
factor
(2x + 5)(2x - 7) = 0
x = -5/2, x = 7/2
that's F