a bomb explodes
blizzard that lasts for days
bear attack on humans
bull fighter is gored
brain aneurysm
bridge gives out at rush hour
event B has something in common with event A
event B has something in common with event A
event B has something in common with event A
Event B has something in common with Event A.
9999990000 seconds
Odds of A to B in favour of an event states that for every A times an event occurs, the event does not occur B times. So, out of (A+B) trials, A are favourable to the event. that is, the probability of A is A/(A+B).
"or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events."or" is used in the context of sets [of events] rather than probability (and certainly not probibility!),An event described as A or B means either event A or event B or both events.
The probability of event A occurring given event B has occurred is an example of conditional probability.
Define your event as [A occurs and B does not occur] or as [A occurs and B' occurs] where B' is the complement of B. Equivalently, this is the event that [A and B' both occur].
In Critical Path Analysis using precedence diagrams (showing activities linked by logical connections/constraints e.g. Activity A must happen before Activity B), then the Earliest Start (Earliest Event Time?) is the earliest time that that activity can start according to the logical constraints of the precedence diagram and the constraint types (Finish to Start, Start to Start, Finish to Finish or Start to Finish).
A compound event is any event combining two or more simple events. The notation for addition rule is: P(A or B) = P(event A occurs or event B occurs or they both occur). When finding the probability that event A occurs or event B occurs, find the total numbers of ways A can occurs and the number of ways B can occurs, but find the total in such a way that no outcome is counted more than once. General addition rule is : P(A or B) = P(A) + P(B) - P(A and B), where P(A and B) denotes that A and B both occur at the same time as an outcome in a trial procedure. It is a special addition rule that shows that A and B cannot both occur together, so P(A and B) becomes 0: If A and B are mutually exclusive, then P(A) or P(B)= P(A or B) = P(A) + P(B)
P(A given B)*P(B)=P(A and B), where event A is dependent on event B. Finding the probability of an independent event really depends on the situation (dart throwing, coin flipping, even Schrodinger's cat...).