However, I am more interested in experiments, such as when there is some intervention or a researcher is testing a newly developed instrument for psychological assessment. ![]() We would expect variability in such instances. He used the example of comparing toddlers' and babies' height or weight. ![]() Yikes! I'm even more confused now :( Okay, so standard deviation has nothing to do with sample size or heteroscedasticity? It is strictly an indication of how closely or widely distributed the data is about the mean and does not indicate quality of the data? Also, a large standard deviation does not necessarily reflect a problem with the data? My professor told me that just because there is high variability, that does not mean that there is necessarily a problem with the data.
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