Statistics & Probability4 min read
Standard Error of the Mean: SD ÷ √n in Plain Terms
Standard error = sample SD ÷ √n. With SD 15 and 36 observations it is 2.5, and quadrupling the sample only halves it. See how it differs from SD.
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Standard error = sample SD ÷ √n. With SD 15 and 36 observations it is 2.5, and quadrupling the sample only halves it. See how it differs from SD.
The one-sample t statistic is (mean − claimed mean) ÷ (SD ÷ √n). With mean 54, claim 50, SD 10 and n = 25, t = 2.0 on 24 degrees of freedom.
Population variance divides by n, sample variance by n − 1. See both on the same six numbers: 2.92 versus 3.5, and SD 1.71 versus 1.87.
A z-score subtracts the mean and divides by the standard deviation: (85 − 70) ÷ 10 = 1.5. That puts the value about the 93rd percentile if scores are normal.
Explore our free calculators and apply these concepts to your own numbers.