Home / IBDP Maths SL 4.5 Concepts of trial, outcome AA HL Paper 2- Exam Style Questions

IBDP Maths SL 4.5 Concepts of trial, outcome AA HL Paper 2- Exam Style Questions

IBDP Maths SL 4.5 Concepts of trial, outcome AA HL Paper 2- Exam Style Questions- New Syllabus

Question

Six balls numbered 1, 2, 2, 3, 3, 3 are placed in a bag. Balls are taken one at a time from the bag at random and the number noted. Throughout the question, a ball is always replaced before the next ball is taken.

(a) A single ball is taken from the bag. Let \( X \) denote the value shown on the ball. Find \( E(X) \). [2]

Three balls are taken from the bag. Find the probability that

(b)(i) the total of the three numbers is 5. [3]

(b)(ii) the median of the three numbers is 1. [3]

(c) Ten balls are taken from the bag. Find the probability that less than four of the balls are numbered 2. [3]

(d) Find the least number of balls that must be taken from the bag for the probability of taking out at least one ball numbered 2 to be greater than 0.95. [3]

(e) Another bag also contains balls numbered 1, 2, or 3. Eight balls are to be taken from this bag at random. It is calculated that the expected number of balls numbered 1 is 4.8, and the variance of the number of balls numbered 2 is 1.5. Find the least possible number of balls numbered 3 in this bag. [8]

▶️ Answer/Explanation
Markscheme Solution

(a) [2 marks]

Probability distribution: \( P(X=1) = \frac{1}{6} \), \( P(X=2) = \frac{2}{6} = \frac{1}{3} \), \( P(X=3) = \frac{3}{6} = \frac{1}{2} \) (M1).
Expected value: \( E(X) = 1 \cdot \frac{1}{6} + 2 \cdot \frac{2}{6} + 3 \cdot \frac{3}{6} = \frac{1}{6} + \frac{4}{6} + \frac{9}{6} = \frac{14}{6} = \frac{7}{3} \approx 2.33 \) (A1).

(b)(i) [3 marks]

Total of three numbers is 5: cases are (1,1,3) and (1,2,2) with arrangements (M1).
\( P(1,1,3) = \frac{1}{6} \cdot \frac{1}{6} \cdot \frac{3}{6} = \frac{3}{216} \), with 3 arrangements: \( 3 \cdot \frac{3}{216} = \frac{9}{216} \).
\( P(1,2,2) = \frac{1}{6} \cdot \frac{2}{6} \cdot \frac{2}{6} = \frac{4}{216} \), with 3 arrangements: \( 3 \cdot \frac{4}{216} = \frac{12}{216} \).
Total probability: \( \frac{9}{216} + \frac{12}{216} = \frac{21}{216} = \frac{7}{72} \approx 0.0972 \) (A1A1).

(b)(ii) [3 marks]

Median is 1: cases are (1,1,1), (1,1,2), (1,1,3) (M1).
\( P(1,1,1) = \frac{1}{6} \cdot \frac{1}{6} \cdot \frac{1}{6} = \frac{1}{216} \).
\( P(1,1,2) = \frac{1}{6} \cdot \frac{1}{6} \cdot \frac{2}{6} = \frac{2}{216} \), with 3 arrangements: \( 3 \cdot \frac{2}{216} = \frac{6}{216} \).
\( P(1,1,3) = \frac{1}{6} \cdot \frac{1}{6} \cdot \frac{3}{6} = \frac{3}{216} \), with 3 arrangements: \( 3 \cdot \frac{3}{216} = \frac{9}{216} \).
Total probability: \( \frac{1}{216} + \frac{6}{216} + \frac{9}{216} = \frac{16}{216} = \frac{2}{27} \approx 0.0741 \) (A1A1).

(c) [3 marks]

Number of twos: \( X \sim B\left(10, \frac{1}{3}\right) \) (M1).
\( P(X < 4) = P(X \leq 3) = \sum_{k=0}^{3} \binom{10}{k} \left(\frac{1}{3}\right)^k \left(\frac{2}{3}\right)^{10-k} \approx 0.559 \) (M1A1).

(d) [3 marks]

Probability of at least one 2: \( P(X \geq 1) = 1 – P(X = 0) > 0.95 \) (M1).
\( P(X = 0) = \left(\frac{2}{3}\right)^n < 0.05 \).
Solve: \( \left(\frac{2}{3}\right)^n < 0.05 \), so \( n \ln\left(\frac{2}{3}\right) < \ln(0.05) \).
\( n > \frac{\ln(0.05)}{\ln\left(\frac{2}{3}\right)} \approx 7.39 \), thus \( n = 8 \) (M1A1).

(e) [8 marks]

Expected number of 1’s: \( 8p_1 = 4.8 \Rightarrow p_1 = \frac{4.8}{8} = \frac{3}{5} \) (M1A1).
Variance of number of 2’s: \( 8p_2(1 – p_2) = 1.5 \) (M1).
Solve: \( 8p_2 – 8p_2^2 = 1.5 \Rightarrow p_2^2 – p_2 + \frac{1.5}{8} = 0 \Rightarrow p_2^2 – p_2 + 0.1875 = 0 \) (M1).
\( \Delta = 1 – 4 \cdot 0.1875 = 0.25 \), \( p_2 = \frac{1 \pm \sqrt{0.25}}{2} = \frac{1 \pm 0.5}{2} \).
\( p_2 = \frac{1}{4} \) or \( p_2 = \frac{3}{4} \) (A1).
\( p_1 + p_2 + p_3 = 1 \). For \( p_2 = \frac{1}{4} \): \( p_3 = 1 – \frac{3}{5} – \frac{1}{4} = \frac{3}{20} \). For \( p_2 = \frac{3}{4} \): \( p_3 = \frac{-2}{20} \) (invalid) (A1).
Probabilities: \( p_1 = \frac{12}{20} \), \( p_2 = \frac{5}{20} \), \( p_3 = \frac{3}{20} \). Least common multiple is 20, so minimum total balls is 20, with 3 balls numbered 3 (M1A1).

Markscheme Answers:

(a) \( E(X) = \frac{7}{3} \approx 2.33 \) (M1A1)

(b)(i) \( \frac{7}{72} \approx 0.0972 \) (M1A1A1)

(b)(ii) \( \frac{2}{27} \approx 0.0741 \) (M1A1A1)

(c) \( 0.559 \) (M1A1A1)

(d) \( n = 8 \) (M1A1A1)

(e) 3 balls numbered 3 (M1A1M1A1A1M1A1)

Total [19 marks]

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