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IB Mathematics: Applications and Interpretation SL · 13.1: Probability · 13.1.1

Theoretical and experimental probability Problem set B Worked solutions

Skills

  1. A card is taken at random from 15 cards numbered 1 to 15. Find the probability that the number is

    1. (a) a multiple of 4

      • n(U) = 15
      • Favourable: 4, 8, 12, so n(A) = 3
      • \(P=\frac{1}{5}\)
    2. (b) greater than 11

      • n(U) = 15
      • Favourable: 12, 13, 14, 15, so n(A) = 4
      • \(P=\frac{4}{15}\)
  2. The probability that a plant produces no flowers in a season is 0.27. Find the probability that it produces at least one flower.

    • At least one is the complement of none.
    • \(P(\text{at least one})=1-P(\text{none})=1-0.27\)
    • = 0.73
  3. A seed germinates with probability 0.85. A gardener plants 240 seeds. Find the expected number that germinate.

    • Expected number = P × number of trials
    • 0.85 × 240 = 204
  4. A random sample of 150 eggs is checked and 12 are cracked. Estimate the probability that an egg is cracked.

    • Estimate = number with the property ÷ sample size.
    • \(\frac{12}{150}=\frac{2}{25}\) = 0.08

In context

  1. The 10 letters of the word STATISTICS are written on separate tiles. One tile is chosen at random. Find the probability that

    1. (a) the letter is I

      • n(U) = 10 letters
      • The letter I appears 2 times.
      • \(P=\frac{1}{5}\)
    2. (b) the letter is a vowel

      • n(U) = 10 letters
      • The vowels are A, I, I: 3.
      • \(P=\frac{3}{10}\)
  2. In a random sample of 250 households, 65 recycle glass. A city has 4800 households.

    1. (a) Estimate the probability that a household recycles glass.

      • \(\frac{65}{250}=\frac{13}{50}\) = 0.26
    2. (b) Estimate how many of the city's households recycle glass.

      • Expected number = 0.26 × 4800 = 1248
  3. A family has 5 children. Each child is equally likely to be a boy or a girl. Find the probability that at least one is a girl.

    • \(P(\text{none})=\left(\frac{1}{2}\right)^{5}=\frac{1}{32}\)
    • \(P(\text{at least one})=1-\frac{1}{32}=\frac{31}{32}\)

Stretch

  1. A fair four-sided spinner is numbered 1 to 4. It is spun 3 times. Find the probability that it lands on 4 at least once.

    • \(P(\text{none})=\left(\frac{3}{4}\right)^{3}=\frac{27}{64}\)
    • \(P(\text{at least one})=1-\frac{27}{64}=\frac{37}{64}\)
  2. A club member wins a raffle prize with probability 0.35. The expected number of prizes is 56. How many raffles does the member enter?

    • Expected number = P × n, so 56 = 0.35 × n
    • n = 56 ÷ 0.35 = 160

jmaths.xyz · AI SL · 13.1.1 Theoretical and experimental probability