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.
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For a discrete probability distribution, check two conditions:
If both conditions are true, the distribution is valid.
Suppose the random variable represents the number of books a student reads in a month.
Step 1: Check each probability.
The probabilities are , , , and . Each one is between and , so the first condition is satisfied.
Step 2: Add the probabilities.
The total is exactly , so the second condition is also satisfied.
Conclusion: This is a valid probability distribution because every probability is between and , and the probabilities sum to .
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