Probability Definition:
The likelihood of something happening or being the case.
Examples include probability of flipping a head, rolling a 6 on a single cube, or being born on a Sunday.
Probability Terms to Know:
Experiment: a repeatable process with a set of possible results
Outcome: A possible result of an experiment
Sample Space: all the possible outcomes of an experiment
Event: one or more outcomes of an experiment
General Probability Formula
Probability of an event happening = | Number of ways the event can happen |
| Total Number of Outcomes |
How To Write Probabilities:
Probability values can be written as a decimal, fraction, or percentage.
Flip 1 Coin Example
A coin has 2 sides. 1 head, and 1 tail. So we have:
Probability of Heads = | Total number of heads |
| Total number of coin faces |
Probability of Heads = | 1 |
| 2 |
This can also be written as 50% or 0.5
Roll Dice (Cube) Example:
A die/cube has 6 sides (1, 2, 3, 4, 5, 6) so we have:
Probability of 3 = | Total number of 3's |
| Total number of die/cube faces |
This can also be written as 16.67% or 0.1667
Equally likely events:
For equally likely events, like coin flips and die rolls for instance, the probabilty for each event is 1/N where N is the number of possible outcomes
Fruit in a Bowl Example:
Suppose we have a bowl of fruit with 3 apples, 5 oranges, and 6 bananas
We want to find out the probability of picking an orange
Probability of picking an Orange = | Total oranges |
| Total fruits |
Probability of picking an Orange = | 5 oranges |
| 3 apples + 5 oranges + 6 bananas |
Probability of picking an Orange = | 5 |
| 14 |
This can also be written as 35.71% or 0.3571
Probability Event Postulate:
For an Event A, 0 ≤ P(A) ≤ 1
A probability of 0 means the event is impossible.
A probability of 1 means the event is certain.
A probability of 0.5 or 1/2 or 50% means the event is equally likely to happen as it is not happen.
A probability greater than 1/2 or 0.5 or 50% and less than 1 is
likely to happen.
A probability less than 1/2 or 0.5 or 50% and greater than 0 is
unlikely to happen.
Sample Space Postulate:
Sample Space: the set of all possible outcomes or results of that experiment.
For a Sample Space S (all possible outcomes), P(S) = 1 (since it is all possible outcomes)
Empty Set Postulate:
Empty Set: The set with no elements
∅
Probability of the empty set (event without outcomes) is: P(∅) = 0
Complement of an event:
Complement of an event: The opposite of an event happening
AC
Event | Complement | Win | Lose |
Rain | No Rain |
Flip heads on a coin | Flip tails on a coin |
Probability of the complement:
Given an Event A, the complement, A', is anything in the sample space which is
not A
P(A') = 1 - P(A)
Proof of the Probaility of the complement:
P(S) = 1
By the sample space postulate aboveP(A U A') = 1
P(A) + P(A') = 1
P(A') = 1 - P(A)
How does the Probability Calculator work?
Free Probability Calculator - This lesson walks you through the basics of probability like the probability definition, events, outcomes, experiments, and probability postulates
What 5 formulas are used for the Probability Calculator?
Probability of an event happening = Number of ways the event can happen/Total Number of Outcomes
For an Event A, 0 ≤ P(A) ≤ 1
P(S) = 1
P(∅) = 0
P(A') = 1 - P(A)
What 10 concepts are covered in the Probability Calculator?
- complement
- The opposite of an event happening
AC - empty set
- The set with no elements
∅ - event
- a set of outcomes of an experiment to which a probability is assigned.
- experiment
- In statistics, a controlled and repeatable process
- likelihood
- how likely a particular population is to produce an observed sample
- outcome
- a possible result of an experiment or trial
- postulate
- A statement accepted as true without proof
- probability
- the likelihood of an event happening. This value is always between 0 and 1.
P(Event Happening) = Number of Ways the Even Can Happen / Total Number of Outcomes - sample space
- the set of all possible outcomes or results of that experiment.
- statistics
- Statistics is a discipline concerned with the analysis of data and decision making based upon data.