Question:

Given the mean and standard deviation value, how is the standard error calculated?

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When calculating standard error, remember that the sample size plays a crucial role in reducing variability in the sample mean.
Updated On: Apr 23, 2025
  • Standard error = Standard deviation / square root of sample size
  • Standard error = Mean / sample size
  • Standard error = Standard deviation * sample size
  • Standard error = Standard deviation / sample size
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The Correct Option is A

Solution and Explanation

The standard error is calculated using the formula: \[ SE = \frac{\sigma}{\sqrt{n}} \] where \(\sigma\) is the standard deviation and \(n\) is the sample size. The standard error represents the variability of the sample mean and gives an estimate of how much the sample mean is expected to vary from the true population mean.
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