MathsFurther Statistics 2 › Continuous random variables: density and distribution functions

Continuous random variables: density and distribution functions

When a variable can take any value in a range, no single value has a probability. Areas do instead, and the function whose areas they are is the density.

Year FMEDEXCEL 9FM0 FS2

Builds on The normal distribution and Definite integrals and areas.

IN THIS TOPIC

  • Check that a proposed density is valid and use it to find probabilities.
  • Move between the density and the cumulative distribution function in both directions.
  • Use the distribution function to find the median and other percentiles.

WHAT YOU PROBABLY THINK

For a continuous random variable, P(X = 1.5) is the height of the density at 1.5.

Areas, not heights

A probability density function f(x) is never a probability. It is non-negative, its total area is 1, and probabilities are the areas beneath it:

P(a < X ≤b) = ab f(x) dx

Since the area over a single point is zero, P(X = c) = 0 for every c: the opening claim confuses a height with a probability. It also means the inequality signs never matter for a continuous variable, which is a genuine simplification after all the care discrete distributions demand.

The density f(x) = 3x²/8 on 0 to 2: probability is the area under it, and the shaded strip is P(1 < X ≤ 1.5)areaf(x) = 3x²/820P(1 < X ≤ 1.5) = 0.297
FIG. 1A density curve with the strip beneath it shaded: the area of the strip is the probability, and the whole area is 1.

WORKED EXAMPLE

Checking a density and using it

f(x) = 3x²/8 for 0 ≤ x ≤ 2 and zero elsewhere. Verify it is a density and find P(1 < X ≤ 1.5).

It is non-negative on the interval. Its integral is [x³/8] from 0 to 2 = 8/8 = 1, so it is valid.

P(1 < X ≤ 1.5) = [x³/8] from 1 to 1.5 = 3.375/8 − 1/8 = 0.297 to three decimal places.

The distribution function

The cumulative distribution function collects everything to the left: F(x0) = P(X ≤ x0), the integral of f from the lower end up to x0. It climbs from 0 to 1 and never falls. Differentiating undoes the integration:

f(x) = dF(x)dx

So F is the more useful of the two for reading probabilities off, and f is the more useful for describing shape. Percentiles come from F: the median m solves F(m) = 0.5, and the lower quartile solves F(q) = 0.25. Piecewise definitions need every branch stated, including the 0 below the range and the 1 above it.

The distribution function F(x) = x³/8 climbing from 0 to 1, with its gradient at each point equal to the density1median 1.5870.5F(x) = x³/8the gradient of F is the density f
FIG. 2The distribution function climbing from 0 to 1, with the median read off at height 0.5 and the density appearing as its gradient.

YOUR TURN

From density to median

For f(x) = 3x²/8 on 0 ≤ x ≤ 2, write down F(x) in full and find the median.

Show the working

Integrating from 0: F(x) = x³/8 on the interval. In full, F(x) = 0 for x < 0, x³/8 for 0 ≤ x ≤ 2, and 1 for x > 2.

The median solves m³/8 = 0.5, so m³ = 4 and m = 1.587 to three decimal places.

Checking: F(1.587) = 3.998/8 ≈ 0.5, and the value sits inside the range as it must.

THE EXAM BIT

  • Verify a density by checking both conditions: non-negative, and total area exactly 1.
  • Write a piecewise F(x) with every branch, including the flat 0 and the flat 1.
  • Read probabilities from F by subtraction; going back to the integral wastes time.
  • For a percentile, set F equal to the proportion and solve, then check the root lies in range.

CHECK YOURSELF

f(x) = kx for 0 ≤ x ≤ 4 and zero elsewhere. Find k and F(x) on the interval.

Show a hint

Total area 1 fixes k, then integrate from the lower end.

Show the answer

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For a continuous variable, probability is area under the density: P(a < X ≤ b) is the integral of f from a to b, and P(X = c) = 0.

F is the integral of f from the lower end, climbing from 0 to 1; differentiating F gives f back, and F(m) = 0.5 gives the median.

WORKBOOK

Printable practice for this topic: original exam-style questions with room to work, and a fully worked answer book. Free to use; please do not redistribute or sell.

CHECK YOUR PROGRESS

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  • Check that a proposed density is valid and use it to find probabilities.
  • Move between the density and the cumulative distribution function in both directions.
  • Use the distribution function to find the median and other percentiles.

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