Sampling Distribution


  • The probability distribution of a given measure based on a random sample. Some values are more likely than others. The sampling distribution tells about the likelihood or probability of each value. We can use sampling distributions to test hypotheses without having to compute for ourselves all possible combinations of the events that lead to the outcome. The most commonly used sampling distribution is the so-called normal or Gaussian distribution, the familiar bell-shaped curve. Values near the center of the distribution, the mean or average, are more likely than values that are far away from the center. When drawn, the sampling height of the sampling distribution shows the probability of that value. The area under the curve tells us about the probability of scores covered by that area.  1


  1. Herb Roitblat, Predictive Coding Glossary.
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