Standard Error (SE) ---> Standard Deviation (SD)

With just two inputs, the standard error (SE) and the sample size of a group. This conversion provides you with the corresponding standard deviation (SD).

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If you want to convert or calculate data for more than one study at the same time, enter data for study 1, study 2, study 3, ...etc, RESPECTIVELY across all cells using the same order.

Conversion Results

Study ID SE Sample Size SD

Description of the formula

Variables Definitions

  1. Standard Error (SE) in the Group: The standard error is a measure of the precision of the sample mean. It quantifies the variability of sample means around the true population mean.
  2. Sample Size of the Group: The number of observations or data points in the sample. The sample size is a critical factor in determining the precision of the sample mean.
  3. Standard Deviation in the Group: The calculated standard deviation is based on the provided standard error and sample size.

For more details about these variables and used formulas, read the full article.