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Random Interval

Definition

Let AA and BB be random variables with A≤BA\le B. A random interval is an interval whose endpoints are random, such as [A,B][A,B].


Interpretation

A random interval is an interval whose position and length depend on the outcome of the experiment. Before the experiment is run, [A,B][A,B] is unknown; afterwards it is an ordinary interval of numbers.

Six random intervals from repeated runs drawn as horizontal segments above a fixed vertical line at theta; five of them cover theta and one misses it.

Each horizontal segment is the interval [A,B][A,B] obtained in one run, and the dashed vertical line is a fixed number θ\theta that is the same in every run. Five of the six segments contain θ\theta; the orange one lies entirely to its right. The randomness sits in the endpoints, not in θ\theta.

The basic event is that the interval covers θ\theta:

{A≤θ≤B}={A≤θ}∩{B≥θ}.\{A\le\theta\le B\}=\{A\le\theta\}\cap\{B\ge\theta\}.

Its probability P(A≤θ≤B)\mathbb{P}(A\le\theta\le B) is the coverage probability. Because A≤BA\le B, the interval can miss θ\theta in two disjoint ways, lying entirely to the right (A>θA>\theta) or entirely to the left (B<θB<\theta), so the complement rule gives

P(A≤θ≤B)=1−P(A>θ)−P(B<θ).\mathbb{P}(A\le\theta\le B) =1-\mathbb{P}(A>\theta)-\mathbb{P}(B<\theta).

The fraction 5/65/6 in the figure is what happened in six runs, not the coverage probability itself.

The probability statement is about the procedure before the run. After one run, [A,B][A,B] is a fixed interval that either contains the fixed θ\theta or does not. A natural example is the interval [X(1),X(n)][X_{(1)},X_{(n)}] between the smallest and the largest order statistic of a sample. The idea returns in statistics as the confidence interval, a random interval constructed so that its coverage probability takes a chosen value such as 0.950.95.


Key Results

  • A random interval has endpoints that are random variables.
  • Events can be formed from statements about whether a fixed value lies inside the interval.
  • Random intervals are useful for uncertainty bands and coverage statements.

Examples

  • A confidence interval computed from data is a random interval before the data are observed.
  • The interval between two random arrival times is random.
  • A forecast range with random lower and upper bounds is a random interval.

Prerequisites

Sources

Keywords: interval with random endpoints Symbols: intersection, theta

Last updated: 22 October 2026 19:04