Skill: Determine probabilities of complementary events

Explanation and Free Practice Resources

An event and its complement consist of all outcomes in the sample space divided into two mutually exclusive, exhaustive sets: the event occurs or it does not. Given the probability of one, the probability of the complement is found using P(Ac)=1−P(A)P(A^c)=1-P(A), with 1 representing certainty, and this relationship is applied across fractions, decimals, percentages, tables, and simple probability models; the complement is not the reciprocal of the original probability.

Detailed Explanation: Determine probabilities of complementary events

A complementary event is the event that something does not happen. The event and its complement include every possible outcome, so their probabilities add to 11:

P(A)+P(Ac)=1P(A)+P(A^c)=1

Therefore, use:

P(Ac)=1−P(A)P(A^c)=1-P(A)

Example

The probability that it will rain tomorrow is 310\frac{3}{10}. What is the probability that it will not rain?

  1. Let AA be the event “it rains.” Then:

P(A)=310 P(A)=\frac{3}{10}
  1. The complement, AcA^c, is “it does not rain.”

  2. Subtract the probability of rain from 11:

P(Ac)=1−310 P(A^c)=1-\frac{3}{10}
  1. Write 11 as 1010\frac{10}{10} and subtract:

P(Ac)=1010−310=710 P(A^c)=\frac{10}{10}-\frac{3}{10}=\frac{7}{10}

So, the probability that it will not rain is:

710\boxed{\frac{7}{10}}

Remember, the complement is found by subtracting from 11—it is not the reciprocal of the original probability.

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Probability - Coins (2), Not All Specific, To Fraction


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