9709/63

Mathematics 9709/63May/June 2010

Cambridge AS Level · Probability & Statistics 1 · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

Topics Probability · Discrete Random Variables · Representation of Data · Permutations and Combinations · The Normal Distribution

Q13MProbabilityFree sample

A bottle of sweets contains 13 red sweets, 13 blue sweets, 13 green sweets and 13 yellow sweets. 7 sweets are selected at random. Find the probability that exactly 3 of them are red.

DifficultyMedium-Easy
Worked solution

Approach

Since the 7 sweets are selected at random without regard to order, each selection is an equally likely combination of 7 sweets taken from the 52 available. We count the total number of such selections and the number of selections that contain exactly 3 red sweets, then take the ratio.

Working

Total number of ways to select 7 sweets from 52:

(527)=133784560\binom{52}{7} = 133\,784\,560

Number of ways to select exactly 3 red sweets: choose 3 of the 13 red sweets, and 4 of the remaining 39 sweets (13 blue, 13 green, 13 yellow):

(133)=13×12×113×2×1=286\binom{13}{3} = \frac{13 \times 12 \times 11}{3 \times 2 \times 1} = 286 (394)=39×38×37×364×3×2×1=82251\binom{39}{4} = \frac{39 \times 38 \times 37 \times 36}{4 \times 3 \times 2 \times 1} = 82\,251

So the number of favourable selections is:

(133)(394)=286×82251=23523786\binom{13}{3}\binom{39}{4} = 286 \times 82\,251 = 23\,523\,786

Therefore the required probability is:

P(exactly 3 red)=(133)(394)(527)=23523786133784560=0.17583P(\text{exactly 3 red}) = \frac{\binom{13}{3}\binom{39}{4}}{\binom{52}{7}} = \frac{23\,523\,786}{133\,784\,560} = 0.17583\ldots

Answer

0.1760.176
Final answer

0.176

Detailed explanation

Walkthrough

We are choosing 7 sweets out of 52 without regard to the order in which they are picked, so every outcome is a combination. The total number of equally likely outcomes is (527)\binom{52}{7}.

For the favourable outcomes, exactly 3 sweets must be red. First choose which 3 of the 13 red sweets are taken \— that gives (133)\binom{13}{3} ways. The other 4 sweets must be non-red; there are 5213=3952 - 13 = 39 non-red sweets in total, so we choose 4 of them, giving (394)\binom{39}{4} ways. These two choices are independent, so we multiply them to obtain the number of selections with exactly 3 red sweets.

Finally, the probability is the number of favourable selections divided by the total number of selections:

P=(133)(394)(527)P = \frac{\binom{13}{3}\binom{39}{4}}{\binom{52}{7}}

Evaluating each combination and dividing gives 0.175830.17583\ldots, which rounds to 0.1760.176 to 3 significant figures.

Key Takeaways

  • Selecting items without caring about their order calls for combinations, not permutations.
  • An "exactly kk" condition means choosing kk from the desired category and the remaining nkn - k from everything else.
  • The probability of a selection event is the ratio of the number of favourable selections to the number of total selections.

Common Mistakes

  • Forgetting the (394)\binom{39}{4} factor, i.e. choosing only the 3 red sweets and not completing the selection of 7.
  • Using permutations instead of combinations, which overcounts because the order of selection does not matter.
  • Rounding the final answer too early instead of keeping enough digits until the last step.

Things to Be Careful About

  • "Exactly 3 red" means the remaining 4 sweets must all be non-red; there are 39 non-red sweets (13 blue, 13 green, 13 yellow).
  • The numerator must be one product of two combinations and the denominator a single combination \— this matches the required method marks.
  • Give the final answer to 3 significant figures, 0.1760.176, as expected by the mark scheme.
Techniques used
count the total number of equally likely selections using combinationscount favourable selections as a product of two combinationscompute probability as the ratio of favourable to total selections

The rest of this paper

6 more questions
  • Q2Representation of Data4M
  • Q3Discrete Random Variables · Probability5M
  • Q4Permutations and Combinations8M
  • Q5Probability · Discrete Random Variables9M
  • Q6Representation of Data10M
  • Q7The Normal Distribution · Discrete Random Variables11M
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