Analyze intersections, unions, complements, and outcome cases. Switch between two or three events with ease. See charts, trial estimates, and downloadable summaries for decisions.
Compute intersections, unions, complements, exact outcome cases, expected frequencies, and visual summaries for two or three independent events.
Use the responsive form below. It shows three columns on large screens, two on smaller screens, and one on mobile.
These sample scenarios show how independent event outcomes change with different inputs.
| Scenario | Input Values | Key Result | Interpretation |
|---|---|---|---|
| Two Events | P(A)=0.55, P(B)=0.40, Trials=1000 | P(A ∩ B)=0.2200, P(A ∪ B)=0.7300 | About 220 joint cases and 730 cases with at least one event. |
| Three Events | P(A)=0.55, P(B)=0.40, P(C)=0.30, Trials=1000 | P(A ∩ B ∩ C)=0.0660, P(at least one)=0.8740 | About 66 triple cases and 874 trials with at least one event. |
| Balanced Inputs | P(A)=0.50, P(B)=0.50, Trials=500 | P(exactly one)=0.5000 | Half the trials should show exactly one event happening. |
For independent events, intersections are products because one event does not change the probability of another.
P(A ∩ B) = P(A) × P(B)
P(A ∪ B) = P(A) + P(B) - P(A ∩ B)
P(only A) = P(A) × (1 - P(B))
P(only B) = (1 - P(A)) × P(B)
P(exactly one) = P(only A) + P(only B)
P(neither) = (1 - P(A)) × (1 - P(B))
P(A | B) = P(A) and P(B | A) = P(B)
P(A ∩ B ∩ C) = P(A) × P(B) × P(C)
P(no event) = (1 - P(A)) × (1 - P(B)) × (1 - P(C))
P(at least one) = 1 - P(no event)
P(only A) = P(A) × (1 - P(B)) × (1 - P(C))
P(exactly two) = P(A)P(B)(1-P(C)) + P(A)P(C)(1-P(B)) + P(B)P(C)(1-P(A))
Expected cases = Probability × Number of trials
Follow these steps to get clean and meaningful probability results.
Independent events are events where one outcome does not change the chance of the other. Their joint probability is found by multiplying their individual probabilities.
For independent events, the multiplication rule applies directly. That is why the intersection of two or three independent events is the product of their separate probabilities.
Yes. Change the input unit to percent, then enter values such as 55 or 40. The calculator converts them into decimal probabilities automatically.
Exactly one event means one chosen event happens while all others do not. In a two-event case, it is the sum of only A and only B.
It estimates how many times each result should occur across your trial count. The value is simply the probability multiplied by the number of trials.
That comparison helps you see whether your measured data fits the independence assumption. Large differences suggest the events may not behave independently in practice.
Yes. The union represents at least one event happening. It includes only A, only B, and both together for the two-event case.
Use it when your problem involves three separate independent events. It adds pair intersections, triple intersection, exactly two events, exactly one event, and none.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.