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Unformatted text preview: all the treatments. Completely randomized designs can compare any number of treatments. Here is an example that compares three treatments. Replication is the amount of the subjects (individuals) of an experimental condition so that the variability associated with the phenomenon can be estimated. Comparing two active treatments enables the researcher to determine which treatment works best. When we compare two comparison groups both having active treatments and if the difference is statistically significant, we will know which active treatment works best. An experiment can be used to establish causation. Because the researcher imposes a treatment on each individual in the study and measures the response, the researcher can use the results to establish whether the treatments cause changes in the response. Randomized comparative experiments: principle 1. Control or comparison 2. Randomization 3. Replication...
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This note was uploaded on 02/27/2012 for the course STAT 121 taught by Professor Patticolling during the Winter '11 term at BYU.
- Winter '11