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Explain the difference between internal and external validity and identify what types of studies have advantages for each one.
Discrete Random Variable
A variable that can take on a countable number of distinct values, often used to model scenarios where outcomes are distinct.
Discrete Random Variable
A variable that can take on a countable number of distinct and separate values, often used in probability and statistics.
Probability Distribution
A statistical function that describes all the possible values and likelihoods that a random variable can take within a given range.
Expected Value
The long-run average value of repetitions of the experiment it represents, computed as the weighted average of all possible values.
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