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The standard error (SE) of a statistic (most commonly the mean) is the standard deviation of its sampling distribution, or sometimes an estimate of that standard deviation. As the sample size increases, the sample means cluster more closely around the population mean and the standard error decreases.

Aug 24, 2013 While the standard error uses statistics (sample data) standard how far your sample statistic (like the sample mean) deviates from the actual
The means of samples of size n, randomly drawn from a normally distributed source population, belong to a normally distributed sampling distribution whose overall mean is equal to the mean of the source population and whose standard deviation ("standard error") is equal to the standard deviation of the source
The standard error of the mean is designated as: ?M. It is the standard deviation of the sampling distribution of the mean. The formula for the standard error of the
The standard error of the mean, also called the standard deviation of the mean, is a method used to estimate the standard deviation of a sampling distribution.
Jan 26, 2010
Standard error is a statistical term that measures the accuracy with which a sample represents a population. In statistics, a sample mean deviates from the actual

of the standard deviation of a statistic. This lesson shows how to compute the standard error, based on sample data. x: Sample estimate of population mean

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