PSY201H1 Lecture Notes - Lecture 4: Confidence Interval, Interval Estimation, Standard Deviation

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Lecture 4 (october 4, 2016): estimation: confidence interval. Clicker question: the mean of a sample is always equal to the population mean. False: false, the mean of the distribution of sample means will always be equal, but not the mean itself. Standard error depends on: size of the sample, the standard deviation of the population from which the sample is selected. Standard error: as sample size n increases, error between the sample means and the population should decrease. Ex: in the long run, when flipping a coin, you expect that the results will be 50-50: standard deviation of the population is the starting point for standard error. As sample size increases, the standard error decreases. If n = 1, the standard error is the standard deviation of the population. Ex: when n = 1, m = 10 and when n = 100, m = 1.

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