In the full lesson
- SE of the Mean (formula)
- Interpreting SE (text)
- Effect of Sample Size (example)
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Module 4 · Sampling & CLT · Topic 6
Standard Error
Standard Error (SE). The standard error is the standard deviation of the sampling distribution. It measures how much a sample statistic typically varies from sample to sample.
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Key formulas
From the Sampling & CLT formula sheet
- Standard Error of xbar:
SE_xbar = sigma / sqrt(n)- Standard deviation of the sampling distribution of the sample mean.
Related glossary terms
- Parameter: A number that describes an entire population. Example: The true mean height of all students at a university.
- Statistic: A number computed from a sample. Example: The mean height of 80 sampled students.
- Standard Error: The standard deviation of a statistic across repeated samples. Example: The standard error of xbar is sigma divided by sqrt(n).
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