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Experimental design is a branch of statistics focused on planning and analyzing experiments to gather data. It involves identifying variables, controlling some (factors) to observe their effect on others (response variables). For example, testing different exercise programs on cholesterol levels.

Key designs include:
* Completely Randomized Design: Treatments are randomly assigned to experimental units.
* Randomized Block Design: Used when other factors might influence results; comparisons are made within similar groups (blocks).
* Factorial Design: Examines the effects of multiple factors and their interactions by testing all possible combinations.

Analysis often uses the analysis of variance to test if factors have a statistically significant effect on the response variable. Experiments often include a control group for comparison, ensuring observed effects are due to the treatment and not other variables.123

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