Using Mutually Exclusive Events in later work
The rule combines disjoint score ranges, categorical outcomes, and alternative failure modes that cannot coincide.
Add probabilities of events that cannot occur in the same outcome. The page traces how the inputs become union probability before rounding.
The rule combines disjoint score ranges, categorical outcomes, and alternative failure modes that cannot coincide.
A sum above one proves that the inputs cannot all describe mutually exclusive events on one sample space. Different names do not guarantee disjoint events.
State why simultaneous occurrence is impossible, check the shared sample space, and add the event probabilities.
Probabilities 0.12,0.25,0.18 sum to 0.55, so one of the three disjoint events occurs with probability 55%. This Mutually Exclusive Events example can be compared with overlapping sets.
For a small Mutually Exclusive Events example using Event probabilities, solve once with the displayed formula and once through direct enumeration or a probability tree. Two methods that organize outcomes differently are less likely to share the same hidden assumption error.
For Mutually Exclusive Events, when the exact list becomes too large, retain a simpler identity as a check: complementary probabilities sum to one, a Pascal row is symmetric, and adjacent factorial results have a known ratio. State which identity was used beside the reported answer.
Mutually exclusive events have empty intersections. Because no outcome is counted twice, the probability of their union is the sum of their probabilities. Mutually Exclusive Events can also be compared with independent events.
Trace Mutually Exclusive Events back through Event probabilities and the fixed condition. Those entries should support the displayed Union probability. For a sensitivity check, alter the fixed condition only. Compare that Mutually Exclusive Events result with the first Union probability, keeping both cases visible.
Substitute the Mutually Exclusive Events solution into Event probabilities. This Mutually Exclusive Events check rejects false Mutually Exclusive Events branches and forbidden denominators.
Choose an easy Event probabilities value before running Mutually Exclusive Events. Predict the result, then compare it with the Mutually Exclusive Events output.
The scale of Union probability can be challenged with a simpler Event probabilities. Keep the fixed condition unchanged during this Mutually Exclusive Events trial. If the estimated Union probability and calculated Union probability differ sharply, revisit the entries before extending the Mutually Exclusive Events work.
Only when at least one has probability zero.
No outcome appears twice.
The assumptions are inconsistent.