Stratified Random Sampling: Definition, Method & Examples
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Stratified Random Sampling: Definition, Method & Examples
Stratified sampling is a method of sampling that involves dividing a population into homogeneous subgroups or 'strata', and then randomly selecting individuals from each group for study.
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The Monte Carlo method is a powerful statistical approach that uses random sampling to approximate complex mathematical problems. One classic example is estimating the value of pi. By randomly generating points within a square and checking how many fall inside a quarter circle, we can approximate pi from the ratio of points inside the circle to the total number of points. As the number of samples increases, the estimate becomes more accurate. ✔️ Handles problems that are difficult or impossible
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