Application of FCP to Probability Problems (Grade 12 NSC Matric Mathematics): Flashcards

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Application of FCP to Probability Problems
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When to use FCP for probability

When sample space is very large

Probability of event E formula

P(E)=n(E)n(S)P(E) = \frac{n(E)}{n(S)}

Meaning of n(E)n(E) in probability formula

Total number of arrangements of event E

Meaning of n(S)n(S) in probability formula

Total number of arrangements of sample space S

Complement rule for probability

P(B)=1−P(not B)P(B) = 1 - P(\text{not B})

'With repetition' in counting problems

Same number of choices available each time

'Without repetition' in counting problems

Number of choices decreases each time

4-digit PINs possible with repetition (0-9)

104=10,00010^4 = 10,000

4-digit PINs without repetition (0-9)

10×9×8×7=5,04010 \times 9 \times 8 \times 7 = 5,040

Strategy for 'at least one' probability problems

Use complement: calculate 'none' and subtract from 1

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