Statistics for Psychology | Standard Error (of the Mean)

John gives an intuitive explanation of the standard error (of the mean) as the standard deviation of sample means. He uses a concrete setting to show a relationship between standard error and standard deviation for the "individual" that carries over into the general setting of probability distributions. (series: "Statistics for Psychology") Please note that probability distributions are theoretical constructs and that the Standard Error of the Mean is a theoretical construct and is NOT actually made from "real" samples.

***At the very end of the video, John typos writing the numbers under the square root. He writes (5-5)^2 and (6-5)^2 instead of (5-4)^2 and (6-4)^2. But, the sum he gets is correct. (Says the right thing but miswrites.)

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