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Random Variable

Random Variable – definition and example, AP Statistics math glossary – Mathovore

Key takeaway: A random variable is a numerical quantity whose value is determined by the outcome of a chance process, together with a probability distribution that says how likely each value is.

Grade 12 – AP StatisticsAP Statistics Unit 2Probability and Counting

Definition of Random Variable

Definition

A random variable turns the results of a random process into numbers. Flip four coins and let \(X\) count the tails: the process has sixteen outcomes, but \(X\) takes only the values 0 through 4. Capital letters name the variable and lowercase letters name its possible values.

A discrete random variable has values that can be listed, such as counts. A continuous one takes any value in an interval, such as a wait time. The probability distribution pairs every value with its chance of occurring.

Formula and notation

For a discrete random variable \(X\) with values \(x_i\) and probabilities \(p_i\):

\[ \mu_X=E(X)=\sum x_i\,p_i,\qquad p_1+p_2+\cdots=1. \]

Write \(P(X=2)\) for the probability that \(X\) equals 2, and \(P(X\ge 3)\) for the probability of at least 3.

1/164/166/164/161/1601234X = number of tails
The tallest bar is X = 2, because six of the sixteen equally likely outcomes have exactly two tails.

Key facts

  • No probability can be negative or exceed 1, and the full list must total exactly one.
  • Its expected value is the long-run average, which the variable itself may never equal.
  • Many different outcomes can map to the same value of the variable.
  • Continuous variables use areas under a density curve, and any single exact value has probability 0.

Random Variable example

Problem

A fair coin is flipped four times . Let \(X\) be the number of tails. Find \(P(X\ge 3)\) and the expected value of \(X\).

  1. There are \(2^4=16\) equally likely outcomes. The counts with 0, 1, 2, 3, 4 tails are 1, 4, 6, 4, 1.

  2. At least three tails: \(P(X\ge 3)=\frac{4}{16}+\frac{1}{16}=\frac{5}{16}\).

  3. Expected value: \(0\cdot\frac{1}{16}+1\cdot\frac{4}{16}+2\cdot\frac{6}{16}+3\cdot\frac{4}{16}+4\cdot\frac{1}{16}=\frac{32}{16}=2\).

\(P(X\ge 3)=\)\(\frac{5}{16}=0.3125\), and on average there are 2 tails in four flips.

Common mistake

Watch out

A student says \(P(X=2)=\frac{1}{16}\), because the sequence TTHH has probability \(\frac{1}{16}\).

Why it is wrong

The event \(X=2\) includes every arrangement with exactly two tails: TTHH, THTH, THHT, HTTH, HTHT and HHTT. That is six outcomes, so the probability is \(\frac{6}{16}=0.375\). A value of the variable collects all outcomes that produce it.

Related terms and lessons

Browse the glossary: A–Z list · AP Statistics vocabulary · Probability and Counting

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