Home / IBDP Maths AHL 4.14 Variance of random variable AA HL Paper 2- Exam Style Questions

IBDP Maths AHL 4.14 Variance of random variable AA HL Paper 2- Exam Style Questions- New Syllabus

Question

The completion time for a marathon, \( T \) hours, is a random variable. The fastest recorded time is 2.25 hours, and the slowest is 7.5 hours.
The probability density function (pdf) for \( T \) is given by: \[ f(t) = \begin{cases} \frac{4}{21} \left( 1 – \cos \left( \frac{4\pi}{9}(t – 2.25) \right) \right), & 2.25 \leq t < 4.5 \\ \frac{4}{21} \left( 1 + \cos \left( \frac{\pi}{3}(t – 4.5) \right) \right), & 4.5 \leq t \leq 7.5 \\ 0, & \text{otherwise}. \end{cases} \]
The graph of the pdf reaches its maximum at \( t = 4.5 \), as illustrated below:

(a) (i) Calculate the integral value of \( \int_{2.25}^{4.5} f(t) \, dt \).
    (ii) State the mode for the random variable \( T \).
    (iii) By providing a justification, determine whether the median of \( T \) is greater than or less than its mode.
Athletes finishing within 3.5 hours are classified as “elite” runners.
(b) Determine the probability that a runner, selected at random, is classified as an elite runner.
(c) Given that a runner is an elite runner, find the probability they finished in 3 hours or less.
(d) Calculate the lower quartile for the distribution of \( T \).
Runner times are converted into performance scores using the formula \( P = a – bt \), where \( a, b > 0 \). The expected score \( E(P) \) is 100, and the highest possible score is 150.
(e) Using the mean time \( E(T) = 4.723 \), find the values of constants \( a \) and \( b \) to the nearest whole number.
(f) If the variance of completion times \( \text{Var}(T) = 0.906 \), calculate the variance of the scores, \( \text{Var}(P) \).

Syllabus Topic Codes (IB Mathematics AA HL):

AHL 4.14: Continuous random variables and their probability density functions; Mean, variance, mode, median, and quartiles of continuous random variables; The effect of linear transformations of \( X \) — parts (a), (b), (c), (d), (e), (f)
SL 5.10: Indefinite and definite integrals of trigonometric functions — parts (a), (b), (c), (d)
▶️ Answer/Explanation

(a)(i)
\[ \int_{2.25}^{4.5} \frac{4}{21} \left( 1 – \cos \left( \frac{4\pi}{9}(t – 2.25) \right) \right) dt = \frac{4}{21} \left[ t – \frac{9}{4\pi} \sin \left( \frac{4\pi}{9}(t – 2.25) \right) \right]_{2.25}^{4.5} \]
Evaluating at the limits gives \( \frac{4}{21} \left( 4.5 – 2.25 \right) = \frac{4}{21} \times 2.25 = \frac{3}{7} \).
Answer: \( \boxed{0.429} \)

(a)(ii)
The mode is the \( t \)-value where the pdf is at its maximum. From the definition and graph:
Answer: \( \boxed{4.5} \)

(a)(iii)
Since \( P(T < 4.5) = \frac{3}{7} \approx 0.429 \), and the median \( m \) satisfies \( P(T < m) = 0.5 \), the median must be greater than 4.5 because more area is needed to reach 0.5.
Answer: \( \boxed{\text{Median is greater than Mode}} \)


(b)
Elite runners \( T \leq 3.5 \): \( \int_{2.25}^{3.5} f(t) dt \approx 0.1037 \).
Answer: \( \boxed{0.104} \)


(c)
\( P(T \leq 3 \mid T \leq 3.5) = \frac{P(T \leq 3)}{P(T \leq 3.5)} \approx \frac{0.0247}{0.1037} \approx 0.238 \).
Answer: \( \boxed{0.238} \)


(d)
Lower quartile \( q_1 \) satisfies \( \int_{2.25}^{q_1} f(t) dt = 0.25 \). Since \( 0.25 < 0.429 \), \( q_1 \) is in the first interval.
Solving \( \frac{4}{21} \left( q_1 – 2.25 – \frac{9}{4\pi} \sin \left( \frac{4\pi}{9}(q_1 – 2.25) \right) \right) = 0.25 \) numerically:
Answer: \( \boxed{4.01} \)


(e)
1. \( E(P) = a – b E(T) \implies a – 4.723b = 100 \)
2. Max score at min time \( t=2.25 \): \( a – 2.25b = 150 \)
Subtracting the two equations: \( (4.723 – 2.25)b = 50 \implies 2.473b = 50 \implies b \approx 20.218 \).
Substituting back: \( a = 150 + 2.25(20.218) \approx 195.49 \).
Answer: \( \boxed{a = 195, \ b = 20} \)


(f)
Using the property \( \text{Var}(aX+b) = a^2 \text{Var}(X) \):
\( \text{Var}(P) = (-b)^2 \text{Var}(T) = (20.218)^2 \times 0.906 \approx 370.35 \).
Answer: \( \boxed{370} \)

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