Statistics
Textbooks
Boundless Statistics
Sampling
Statistics Textbooks Boundless Statistics Sampling
Statistics Textbooks Boundless Statistics
Statistics Textbooks
Statistics

Section 4

Sampling Distributions

Book Version 1
By Boundless
Boundless Statistics
Statistics
by Boundless
View the full table of contents
7 concepts
Thumbnail
What Is a Sampling Distribution?

The sampling distribution of a statistic is the distribution of the statistic for all possible samples from the same population of a given size.

Properties of Sampling Distributions

Knowledge of the sampling distribution can be very useful in making inferences about the overall population.

Thumbnail
Creating a Sampling Distribution

Learn to create a sampling distribution from a discrete set of data.

Thumbnail
Continuous Sampling Distributions

When we have a truly continuous distribution, it is not only impractical but actually impossible to enumerate all possible outcomes.

Thumbnail
Mean of All Sample Means (μ x)

The mean of the distribution of differences between sample means is equal to the difference between population means.

Thumbnail
Shapes of Sampling Distributions

The overall shape of a sampling distribution is expected to be symmetric and approximately normal.

Thumbnail
Sampling Distributions and the Central Limit Theorem

The central limit theorem for sample means states that as larger samples are drawn, the sample means form their own normal distribution.

Subjects
  • Accounting
  • Algebra
  • Art History
  • Biology
  • Business
  • Calculus
  • Chemistry
  • Communications
  • Economics
  • Finance
  • Management
  • Marketing
  • Microbiology
  • Physics
  • Physiology
  • Political Science
  • Psychology
  • Sociology
  • Statistics
  • U.S. History
  • World History
  • Writing

Except where noted, content and user contributions on this site are licensed under CC BY-SA 4.0 with attribution required.