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Exercise 14.2 · Q16

Q.Events E and F are such that P(not E or not F) = 0.25. State whether E and F are mutually exclusive.

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The key idea is that P(not E or not F)=P(E‾∪F‾)=1−P(E∩F)P(\text{not }E \text{ or not }F) = P(\overline{E} \cup \overline{F}) = 1 - P(E \cap F). Given this equals 0.25, we get P(E∩F)=0.75≠0P(E \cap F) = 0.75 \neq 0, so E and F are NOT mutually exclusive.

Mutually exclusive events are those that cannot happen at the same time — their intersection has probability zero. The problem gives us information about the complement of their intersection, so we need to translate carefully.

The phrase "not E or not F" means the event that either E does not happen, or F does not happen (or both). In set notation, this is E‾∪F‾\overline{E} \cup \overline{F}. By De Morgan’s law, this is exactly the complement of E∩FE \cap F:

E‾∪F‾=E∩F‾.\overline{E} \cup \overline{F} = \overline{E \cap F}.

So the given probability is:

P(E∩F‾)=0.25.P(\overline{E \cap F}) = 0.25.

Now, for any event A, P(A‾)=1−P(A)P(\overline{A}) = 1 - P(A). Applying this to A=E∩FA = E \cap F:

P(E∩F‾)=1−P(E∩F).P(\overline{E \cap F}) = 1 - P(E \cap F).

Thus:

1−P(E∩F)=0.25⇒P(E∩F)=0.75.1 - P(E \cap F) = 0.25 \quad \Rightarrow \quad P(E \cap F) = 0.75. …

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