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Choose the full population for a joint rate
Suppose 100 inspected items include 40 from supplier A and 12 that are both from A and flagged. The joint probability of supplier A and a flag is 12/100 = 12%. The conditional flag rate among supplier A items is 12/40 = 30%. Both calculations use the same numerator; the question determines the denominator.
Reconnect the two rates
P(A) = 40%, so P(A)P(flag | A) = 0.4×0.3 = 0.12. This reproduces the joint count divided by the full total. A statement that “12% of all inspected items were supplier-A flags” is therefore different from “30% of supplier-A items were flagged.” A report should keep the reference group in its wording, not leave the percentage floating without a denominator.
Keep the counts compatible
The joint count cannot exceed the total count. If the supplier count is also supplied, the joint count cannot exceed it either. All counts should come from the same inspection population and time window. Combining a supplier share from one month with a flag rate measured under another protocol can produce arithmetic that looks consistent but represents no actual population.
Use counts when counts are what you have
The Joint Probability Calculator has a joint-count mode that directly calculates both-count/total-count. It does not invent missing supplier or flag marginals. Read dependent sequential draws when the joint event comes from stages rather than a completed table. For the broader union, neither and exactly-one regions of two events, use the Probability Calculator; those regions require more information than a lone joint count.
Check the model behind your result
Use the Joint Probability Calculator for the supported calculation and review its stated assumptions before interpreting the output. Find related tools in the Statistics category, or browse the GreenCalc homepage for other calculation topics.
By GreenCalc Editorial Team · Updated 2026-10-26
