Statistics Examples

$P (A) = 0.1$ , $P (B) = 0.05$ , $P (A a n d B) = 0.1$

When $A$ and $B$ are not mutually exclusive events, the probability of $A$ or $B$ occurring is $P (A \cup B) = P (A) + P (B) - P (A \cap B)$ , which is called the addition rule for not mutually exclusive events $A$ and $B$ .

$P (A \cup B) = P (A) + P (B) - P (A \cap B)$

Fill in the known values.

$P (A \cup B) = 0.1 + 0.05 - (0.1)$

Multiply $- 1$ by $0.1$ to get $- 0.1$ .

$P (A \cup B) = 0.1 + 0.05 - 0.1$

Add $0.1$ and $0.05$ to get $0.15$ .

$P (A \cup B) = 0.15 - 0.1$

Subtract $0.1$ from $0.15$ to get $0.05$ .

$P (A \cup B) = 0.05$

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