9709/52

Mathematics 9709/52May/June 2023

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

6
questions
50
marks
75
minutes

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

Q1Discrete Random VariablesFree sample

The random variable XX takes the values 2-2, 22 and 33. It is given that

P(X=x)=k(x21),\text{P}(X = x) = k(x^2 - 1),

where kk is a constant.

(a)

Draw up the probability distribution table for XX, giving the probabilities as numerical fractions.

3M
DifficultyMedium-Easy
Worked solution

Approach

For a probability distribution, the probabilities must sum to 1. Use this to find kk, then substitute x=2x = -2, 22 and 33 into k(x21)k(x^2 - 1) to obtain the probabilities.

Working

P(X=2)=k((2)21)=3kP(X = -2) = k((-2)^2 - 1) = 3k P(X=2)=k(221)=3kP(X = 2) = k(2^2 - 1) = 3k P(X=3)=k(321)=8kP(X = 3) = k(3^2 - 1) = 8k

Since the total probability is 1:

3k+3k+8k=13k + 3k + 8k = 1 14k=114k = 1 k=114k = \frac{1}{14}

Therefore:

P(X=2)=314,P(X=2)=314,P(X=3)=814=47P(X = -2) = \frac{3}{14}, \quad P(X = 2) = \frac{3}{14}, \quad P(X = 3) = \frac{8}{14} = \frac{4}{7}

Answer

xx2-22233
P(X=x)P(X = x)314\frac{3}{14}314\frac{3}{14}47\frac{4}{7}
Final answer

k = 1/14; P(X = -2) = 3/14, P(X = 2) = 3/14, P(X = 3) = 4/7

Detailed explanation

Walkthrough

The key fact for any probability distribution is that the probabilities of all possible outcomes must add to 11. Here the probability formula is P(X=x)=k(x21)P(X=x)=k(x^2-1). Substitute the three values 2-2, 22 and 33 into the formula to get 3k3k, 3k3k and 8k8k. Add these and set the sum equal to 11: 3k+3k+8k=13k+3k+8k=1, so 14k=114k=1 and k=114k=\frac{1}{14}. Finally, replace kk in each expression to obtain the probabilities 314\frac{3}{14}, 314\frac{3}{14} and 814\frac{8}{14}, which simplifies to 47\frac{4}{7}. The table must list the outcomes 2-2, 22, 33 with these probabilities.

Key Takeaways

A probability distribution table lists every possible value of the random variable with its probability. The probabilities must sum to 11, which is the equation used to find an unknown constant in a probability formula.

Common Mistakes

  • Forgetting that the probabilities must sum to 11, so not forming 3k+3k+8k=13k+3k+8k=1.
  • Substituting incorrectly, for example using x2+1x^2+1 instead of x21x^2-1.
  • Not simplifying 814\frac{8}{14} to 47\frac{4}{7}; this is not wrong, but simplified fractions are usually preferred.
  • Adding extra outcomes to the table without giving probability 00.

Things to Be Careful About

The mark scheme allows follow-through using a candidate's own kk. If kk is not calculated, a table with probabilities 3k3k, 3k3k, 8k8k can still earn special credit. Also, the outcomes in the table must be exactly 2-2, 22 and 33.

Techniques used
sum probabilities to 1 to solve for kconstruct probability distribution table
(b)

Find E(X)\text{E}(X) and Var(X)\text{Var}(X).

3M
DifficultyMedium
Worked solution

Approach

Use E(X)=xP(X=x)E(X) = \sum xP(X = x) for the expectation. For the variance, use Var(X)=E(X2)[E(X)]2\mathrm{Var}(X) = E(X^2) - [E(X)]^2, where E(X2)=x2P(X=x)E(X^2) = \sum x^2P(X = x). Use the probabilities from part (a).

Working

E(X)=(2)(314)+(2)(314)+(3)(814)E(X) = (-2)\left(\frac{3}{14}\right) + (2)\left(\frac{3}{14}\right) + (3)\left(\frac{8}{14}\right) =614+614+2414=2414=127= -\frac{6}{14} + \frac{6}{14} + \frac{24}{14} = \frac{24}{14} = \frac{12}{7}

Next,

E(X2)=(2)2(314)+22(314)+32(814)E(X^2) = (-2)^2\left(\frac{3}{14}\right) + 2^2\left(\frac{3}{14}\right) + 3^2\left(\frac{8}{14}\right) =1214+1214+7214=9614=487= \frac{12}{14} + \frac{12}{14} + \frac{72}{14} = \frac{96}{14} = \frac{48}{7}

Therefore,

Var(X)=E(X2)[E(X)]2=487(127)2\mathrm{Var}(X) = E(X^2) - [E(X)]^2 = \frac{48}{7} - \left(\frac{12}{7}\right)^2 =3364914449=19249= \frac{336}{49} - \frac{144}{49} = \frac{192}{49}

Answer

E(X)=127,Var(X)=19249E(X) = \frac{12}{7}, \quad \mathrm{Var}(X) = \frac{192}{49}
Final answer

E(X) = 12/7, Var(X) = 192/49

Detailed explanation

Walkthrough

For expectation, use E(X)=xP(X=x)E(X)=\sum xP(X=x). Multiply each value of XX by its probability from part (a) and add:

E(X)=(2)×314+2×314+3×814=2414=127E(X)=(-2)\times\frac{3}{14}+2\times\frac{3}{14}+3\times\frac{8}{14}=\frac{24}{14}=\frac{12}{7}

For variance, use Var(X)=E(X2)[E(X)]2\mathrm{Var}(X)=E(X^2)-[E(X)]^2. First find E(X2)=x2P(X=x)E(X^2)=\sum x^2P(X=x):

E(X2)=4×314+4×314+9×814=9614=487E(X^2)=4\times\frac{3}{14}+4\times\frac{3}{14}+9\times\frac{8}{14}=\frac{96}{14}=\frac{48}{7}

Then subtract [E(X)]2=(127)2=14449[E(X)]^2=\left(\frac{12}{7}\right)^2=\frac{144}{49}:

48714449=3364914449=19249\frac{48}{7}-\frac{144}{49}=\frac{336}{49}-\frac{144}{49}=\frac{192}{49}

The final answers should be identified as expectation and variance.

Key Takeaways

Expectation is a weighted average using probabilities as weights. Variance measures spread and can be calculated as E(X2)[E(X)]2E(X^2)-[E(X)]^2, which is often easier than summing squared deviations directly.

Common Mistakes

  • Using E(X2)E(X^2) as the variance without subtracting [E(X)]2[E(X)]^2.
  • Forgetting to square the negative value 2-2 when calculating E(X2)E(X^2); (2)2=4(-2)^2=4.
  • Mixing up E(X)E(X) and E(X2)E(X^2).
  • Not identifying which answer is E(X)E(X) and which is Var(X)\mathrm{Var}(X); the mark scheme requires them to be identified.

Things to Be Careful About

The mark scheme allows follow-through from part (a) using the candidate's table, provided the probabilities are valid. If the final answers are correct but not identified, the final accuracy mark may be lost. If the final accuracy mark is not earned, a special case mark is available for identified correct final answers.

Techniques used
calculate expectation as weighted sumcalculate variance using E(X^2) - (E(X))^2

The rest of this paper

5 more questions
  • Q2Probability6M
  • Q3Representation of Data7M
  • Q4Discrete Random Variables · Probability9M
  • Q5The Normal Distribution12M
  • Q6Permutations and Combinations10M
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