Everything About ___
Live briefing

Everything about Sampling distribution

Probability distribution of the possible sample outcomes

In statistics, a sampling distribution or finite-sample distribution is the probability distribution of a given random-sample-based statistic. For an arbitrarily large number of samples where each sample, involving multiple observations, is separately used to compute one value of a statistic per sample, the sampling distribution is the probability distribution of the values that the statistic takes on. In many contexts, only one sample is observed, but the sampling distribution can be found theoretically. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Sampling distributionA 5-minute orientation
  2. Skim a recent paper: A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learningInfluential work since 2022
  3. Pick up a classic book: Quality sampling and reliabilityThe most-reprinted book on the subject
  4. Read the landmark paper: Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling MethodsCited 6,567 times
  5. Go sideways: Standard errorA closely related topic
  6. Go sideways: Z-testA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Introduction
  2. Standard error
  3. Examples

🏆 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