Introduction to Resampling Methods

Introduction to Resampling Methods

taught by Peter Bruce and Robert LaBudde

Aim of Course:

The online course, "Introduction to Resampling Methods" introduces the basic concepts and methods of resampling, including bootstrap procedures and permutation (randomization) tests. The approach of the course is to teach inference: interval estimation, one- , two- and k-sample comparisons, correlation, regression, from a resampling perspective, without complex theory, mathematics or confusing statistical notation. A companion course, Bootstrap Methods, covers the bootstrap with more theory and in greater detail.

See:  Bootstrap Methods

This course may be taken individually (one-off) or as part of a certificate program.
Course Program:

WEEK 1: The Resampling Approach to Inference

  • Historical perspective
  • Hypothesis tests vrs. confidence intervals
  • Permutation tests
  • The bootstrap
  • Virtues of a "naive" do-it-yourself approach
  • The 4-step process
    • Specify population(s)
    • Specify resampling procedure
    • Calculate statistic or estimate of interest
    • Repeat and keep score
  • Working with measured data

WEEK 2: Working with Count Data

  • The contingency table
  • Choice of test statistics
  • Fisher's Exact Test
  • Chi-Square Test
  • Dose-Response Relationship

WEEK 3: Working with Multivariate Data

  • Correlation
  • Regression


Homework in this course consists of short answer questions to test concepts and guided data analysis problems using software.

In addition to assigned readings, this course also has supplemental readings available online, discussion tasks, and example software codes.

Introduction to Resampling Methods

Who Should Take This Course:
Analysts with data or statistics not suitable for standard analysis (small sample sizes, for example, or non-standard statistics), analysts who have had some statistics and want to deepen their knowledge of statistical inference, statisticians unfamiliar with resampling seeking a basic introduction, instructors interested in the easy-to-understand, non-formula-based resampling approach.
Organization of the Course:
Options for Credit and Recognition:
Course Text:
The required text for this course is Resampling: The New Statistics by Julian Simon, available online here.
Course illustrations and exercises will be provided in R, and also in Resampling Stats for Excel.  Click Here for information on obtaining a free (or nominal cost) copy of various software packages for use during the course.


March 06, 2020 to March 20, 2020

Introduction to Resampling Methods


March 06, 2020 to March 20, 2020

Course Fee: $469

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

Group rates: Click here to get information on group rates. 

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

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The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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