The Sampling Distribution of the Mean & Standard Error

In this video I explain the sampling distribution of the mean, a comparison distribution for thinking about the probability of different mean values selected from a population. I explain how the Central Limit Theorem allows us to infer characteristics of this distribution, and how the variance and standard error can be calculated based on the population variance and the sample size. The sample size influences our level of uncertainty around the population mean and the probability of getting particular means for a sample, and this can be reported by providing the SE or SEM (standard error of the mean) and using error bars in graphs of data. This illustrates why the mean is such a valuable statistic and why interval and ratio level data allow for more robust statistical analyses.

Видео The Sampling Distribution of the Mean & Standard Error канала PsychExamReview