The probability that an event will occur plus the probability that it will not occur equals 1.
If the event in question is A and the probability of A occurring is P(A), then the probability of A not occurring is P(A')=1-P(A).
These events are complementary. Let P(A) = probability event will occur. Then the probability it will not occur is: 1 - P(A).
If the probability of an event occurring is p, then 1-p represents the probability of the same event not occurring. The value of p must lie between 0 and 1.
The probability of event A occurring given event B has occurred is an example of conditional probability.
Probability can not be less than 0 or greater than 1. A probability of 0 means there is no possibility whatsoever of an event occurring. A probability of 1 means that the event is guaranteed to occur no matter what.
If the event in question is A and the probability of A occurring is P(A), then the probability of A not occurring is P(A')=1-P(A).
These events are complementary. Let P(A) = probability event will occur. Then the probability it will not occur is: 1 - P(A).
"Odds".
If the probability of an event occurring is p, then 1-p represents the probability of the same event not occurring. The value of p must lie between 0 and 1.
Odds.
The complement of an event occurring is that it does not occur.
p/(1-p) the relation between both outcomes.
odds
80%
p/(1-p) The sum of the probability of an event occurring plus it not occurring equals 1.
The probability of event A occurring given event B has occurred is an example of conditional probability.
If an event has a probability of occurring p, then the probability of it not occurring is 1 - p. This is because the probability of something happening is always 1, i.e. p + (1 - p) = 1.