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ZIMSEC A-Level Statistics

6.5.1Probability distribution of a continuous random variable

Probability distribution of a continuous random variable in ZIMSEC A-Level Statistics: what the syllabus expects you to know, the learning objectives and how to practise.
Subtopic40 practice questions2 lessons

Overview

Form 5 (includes the rectangular distribution, taught with the exponential distribution under 6.5.2).

Learning objectives

What the syllabus expects you to be able to do.

  1. 6.5.1.1Form 5: differentiate and integrate polynomial and exponential functions as needed for probability density functions.
  2. 6.5.1.2Form 5: use probability density functions and cumulative distribution functions to calculate probabilities.
  3. 6.5.1.3Form 5: calculate the mean, mode, median, variance, standard deviation and percentiles.
  4. 6.5.1.4Form 5: obtain the cumulative distribution function from the density by integration and the density from the cumulative distribution function by differentiation.

Lessons

  • Continuous random variables and probability density functions

    50 min

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  • Cumulative distribution functions

    45 min

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Sample question

A sample question on this topic. Answer it, check it, then read the worked answer.

Probability distribution of a continuous random variable: sample question

1 mark

The continuous random variable XX has cdf F(x)=x216F(x) = \frac{x^2}{16} for 0≤x≤40 \le x \le 4 (with F=0F = 0 below 0 and F=1F = 1 above 4). Find P(1<X<3)\mathrm{P}(1 < X < 3).

Only if the answer has a unit, e.g. cm or km/h.

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