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.
Dear, there is no solution to this equation
Answer:
12/16 is greater than 0.12.
Step-by-step explanation:
0.12 = 12/100 = 6/50 = 3/25
12/16 = 3/4.
So, 12/16 is greater than 0.12.
Answer:
b, c, d and f since they have a sign of greater> or less to> or greater and less to
Answer:
70 students
Step-by-step explanation:
As, 30% Mike surveyed
And these 30% are 21 students
So 30% of X = 21
= 30/100 x X = 21
= 30X = 2100
So X = 2100/30
X = 70
So 70 students were surveyed
