Skill: Verify valid probability distributions

Explanation and Free Practice Resources

A valid discrete probability distribution assigns each possible value of a random variable a probability from 0 to 1, with the probabilities across all mutually exclusive outcomes summing to exactly 1; this can be verified from a table, graph, or algebraic rule. The reasoning distinguishes invalid assignments, such as negative probabilities or totals other than 1, and supports interpreting expected outcomes and variability; continuous probability densities and more abstract distribution theory are not included.

Detailed Explanation: Verify valid probability distributions

For a discrete probability distribution, check two conditions:

  1. Every probability is between 00 and 11, inclusive:
0≤P(X=x)≤10 \leq P(X=x) \leq 1
  1. The probabilities of all possible outcomes add to exactly 11:
∑P(X=x)=1\sum P(X=x)=1

If both conditions are true, the distribution is valid.

Worked example

Suppose the random variable XX represents the number of books a student reads in a month.

xx00112233
P(X=x)P(X=x)0.200.200.350.350.300.300.150.15

Step 1: Check each probability.

The probabilities are 0.200.20, 0.350.35, 0.300.30, and 0.150.15. Each one is between 00 and 11, so the first condition is satisfied.

Step 2: Add the probabilities.

0.20+0.35+0.30+0.15=1.000.20+0.35+0.30+0.15=1.00

The total is exactly 11, so the second condition is also satisfied.

Conclusion: This is a valid probability distribution because every probability is between 00 and 11, and the probabilities sum to 11.

Learn by doing: Verify valid probability distributions

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Probability Random Variables - Probability Table to Is Valid Table


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