9709/61

Mathematics 9709/61October/November 2012

Cambridge AS Level · Probability & Statistics 1 (S1) · worked solutions for every part, with the mark scheme

7
questions
50
marks
75
minutes

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

Q14MDiscrete Random VariablesProbabilityFree sample

Ashok has 3 green pens and 7 red pens. His friend Rod takes 3 of these pens at random, without replacement. Draw up a probability distribution table for the number of green pens Rod takes.

DifficultyMedium-Easy
Worked solution

Approach

Let XX be the number of green pens Rod takes. Since Rod selects 3 pens from 10 (3 green, 7 red) without replacement, XX takes values 0,1,2,30, 1, 2, 3. For each value, multiply the probabilities of the individual draws — the denominators decrease from 10 to 9 to 8 because pens are not replaced — and for mixed selections (1 or 2 green pens) multiply by the number of possible orderings of the colours. Present the results in a distribution table and confirm the probabilities sum to 1.

Working

For X=0X = 0 (all three pens are red):

P(X=0)=710×69×58=210720=724P(X=0) = \frac{7}{10} \times \frac{6}{9} \times \frac{5}{8} = \frac{210}{720} = \frac{7}{24}

For X=1X = 1 (one green, two red). The single green pen may occupy any of the 3 positions, so multiply by 3C1=3{}^{3}\text{C}_1 = 3:

P(X=1)=(310×79×68)×3C1=126720×3=378720=2140P(X=1) = \left(\frac{3}{10} \times \frac{7}{9} \times \frac{6}{8}\right) \times {}^{3}\text{C}_1 = \frac{126}{720} \times 3 = \frac{378}{720} = \frac{21}{40}

For X=2X = 2 (two green, one red). The single red pen may occupy any of the 3 positions, so multiply by 3C2=3{}^{3}\text{C}_2 = 3:

P(X=2)=(310×29×78)×3C2=42720×3=126720=740P(X=2) = \left(\frac{3}{10} \times \frac{2}{9} \times \frac{7}{8}\right) \times {}^{3}\text{C}_2 = \frac{42}{720} \times 3 = \frac{126}{720} = \frac{7}{40}

For X=3X = 3 (all three pens are green):

P(X=3)=310×29×18=6720=1120P(X=3) = \frac{3}{10} \times \frac{2}{9} \times \frac{1}{8} = \frac{6}{720} = \frac{1}{120}

Check that the probabilities sum to 1:

210+378+126+6720=720720=1\frac{210 + 378 + 126 + 6}{720} = \frac{720}{720} = 1

Probability distribution table:

xx0123
P(X=x)P(X = x)210720=724\frac{210}{720} = \frac{7}{24}378720=2140\frac{378}{720} = \frac{21}{40}126720=740\frac{126}{720} = \frac{7}{40}6720=1120\frac{6}{720} = \frac{1}{120}

Answer

The probability distribution of the number of green pens XX is:

P(X=0)=724,P(X=1)=2140,P(X=2)=740,P(X=3)=1120P(X=0) = \frac{7}{24}, \quad P(X=1) = \frac{21}{40}, \quad P(X=2) = \frac{7}{40}, \quad P(X=3) = \frac{1}{120}
Final answer

P(X=0)=7/24, P(X=1)=21/40, P(X=2)=7/40, P(X=3)=1/120

Detailed explanation

Walkthrough

The random variable we are interested in is XX, the number of green pens picked, which can only be 0, 1, 2 or 3. Because pens are drawn at random and without replacement, each probability is found by multiplying the individual draw probabilities, with the denominators dropping from 10 to 9 to 8.

For X=0X = 0, every one of the three draws must be red, so we multiply 710×69×58\frac{7}{10} \times \frac{6}{9} \times \frac{5}{8}. The numerator drops 7, 6, 5 as red pens are removed.

For X=1X = 1, we need exactly one green and two red. The straightforward product 310×79×68\frac{3}{10} \times \frac{7}{9} \times \frac{6}{8} assumes the green comes first. But the single green pen could equally be the second or third draw, so there are 3C1=3{}^{3}\text{C}_1 = 3 possible orderings — hence we multiply by 3.

For X=2X = 2, we need two green and one red. The product 310×29×78\frac{3}{10} \times \frac{2}{9} \times \frac{7}{8} assumes two greens then a red, but the red could sit in any of the three positions, so multiply by 3C2=3{}^{3}\text{C}_2 = 3.

For X=3X = 3, all three must be green: 310×29×18\frac{3}{10} \times \frac{2}{9} \times \frac{1}{8}.

Finally, adding all four probabilities must give 1. This confirms the distribution is valid and is a good check against ordering or arithmetic slips.

Key Takeaways

  • Drawing without replacement shrinks the pool, so denominators (and the matching numerators) decrease with each draw.
  • When the desired selection can occur in several orders, multiply by the appropriate combination — the number of ways to choose the positions of the less frequent colour.
  • A probability distribution table must list every possible value of the random variable with its probability, and the probabilities must sum to 1.
  • This question is an example of a selection without replacement handled by direct enumeration.

Common Mistakes

  • Omitting the ordering factor 3C1{}^{3}\text{C}_1 or 3C2{}^{3}\text{C}_2 for X=1X = 1 and X=2X = 2, which makes the probabilities fail to sum to 1.
  • Treating the draws as with replacement and using 710×710×710\frac{7}{10} \times \frac{7}{10} \times \frac{7}{10}, etc.
  • Leaving fractions unsimplified when the phrasing expects simplified forms (the mark scheme shows both forms).
  • Presenting probabilities without a clear table format, losing clarity for the examiner.

Things to Be Careful About

  • The denominators must be 10, 9, 8 — never constant — because the pens are not replaced.
  • The combination factors count the position of the minority colour: 3C1=3{}^{3}\text{C}_1 = 3 for one green, 3C2=3{}^{3}\text{C}_2 = 3 for one red.
  • Always sum the probabilities to check you get 1; any other total signals a missing ordering factor or an arithmetic error.
  • Keep all working in fractions; decimal approximations can obscure the method and make it harder for the examiner to award the correct mark.
Techniques used
compute without-replacement selection probabilitiesmultiply by the number of orderings for mixed selectionstabulate a discrete probability distributionverify probabilities sum to one

The rest of this paper

6 more questions
  • Q2Representation of Data5M
  • Q3The Normal Distribution · Discrete Random Variables6M
  • Q4Representation of Data · Probability7M
  • Q5Discrete Random Variables7M
  • Q6The Normal Distribution · Probability9M
  • Q7Permutations and Combinations12M
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