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Everything about Standard deviation

Measure of variation in statistics

In statistics, the standard deviation is a measure of the amount of variation of the values of a variable about its (arithmetic) average. A low standard deviation indicates that the values of a set tend to be close to their average, while a high standard deviation indicates that the values are spread out over a wider range. Standard deviation may be abbreviated SD or std dev, and is most commonly represented in mathematical texts and equations by the lowercase Greek letter σ (sigma). Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Standard deviationA 5-minute orientation
  2. Skim a recent paper: SFKNN-DPC: Standard deviation weighted distance based density peak clustering algorithmInfluential work since 2022
  3. Pick up a classic book: Super CrunchersThe most-reprinted book on the subject
  4. Read the landmark paper: Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile rangeCited 10,679 times
  5. Go sideways: Bessel's correctionA closely related topic
  6. Go sideways: VarianceA closely related topic

📖 Definitions

Noun A measure of how spread out data values are around the mean, defined as the square root of the variance. Represented with the Greek letter σ (sigma).

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics