Lets first start by defining some terms:
Probability (P) in statistics is defined as the chance of an event occurring.
Probability experiment is a chance process that leads to results called outcomes.
An outcome is the result of a single trial of a probability experiment.
A sample set is the set of all possible outcomes of a probability experiment.
An event consists of a set of outcomes of a probability experiment. An event can be one outcome or more than one outcome. The event can be anything from flipping a coin, to rolling a die, to picking a card.
The probability of any event (E) is:
(# of outcomes in E) / (total # of outcomes in sample space)
For example: Find the probability a die is rolled and you get a 4?
We know that there are 6 possibilities when rolling a die. We can either rolled a 1, or a 2, or a 3, or a 4, or a 5, or a 6.
Using the equation above:
P(rolling a 4)= 1/6
The event in this case is rolling a 4.
If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".
the probability a certain event will occur :-)
To find the experimental probability of an event you carry out an experiment or trial a very large number of times. The experimental probability is the proportion of these in which the event occurs.
The probability of the event is 25/36.
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).
The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.
The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.The probability of an impossible event is 0.
The probability of the complement of an event, i.e. of the event not happening, is 1 minus the probability of the event.
The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.
The probability of an event not occurring is 1 minus the probability of it occurring.
Probability of sure event is 1
The probability that an event will occur plus the probability that it will not occur equals 1.
An event that will definitely happen is an event with 100% probability.
No. The probability of an event ranges from 0 (the event will not happen) to 1 (the event will happen).
A probability event that is impossible is one that will not happen, i.e. its probability is zero.
If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".If p refers to the probability of an event, then the answer is "certainty".
an impossible event has a probability of 0, it will never occur a certain event has a probability of 1, it will always occur