Explain the concept of standard error with an example. What are its implications?
Standard error is a statistical term that measures the variability or spread of a sample statistic, most commonly the sample mean, from the true population mean. It quantifies how much the sample mean is expected to vary from the true population mean if multiple samples are taken. In other words, it tells us how precise the sample mean is as an estimate of the population mean.
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