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Activity Number: 366
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #317504 View Presentation
Title: How to Handle Intervals in a Simulation-Based Curriculum?
Author(s): Robin Lock*
Companies: St. Lawrence University
Keywords: bootstrap ; simulation-based inference ; interval estimation
Abstract:

A number of recent curriculum projects advocate using simulations to introduce key ideas of statistical inference. Most agree on using randomization procedures to simulate samples for hypothesis tests, but there is less consensus on how to approach the other important inference topic - interval estimation. Should we use confidence intervals from bootstrap distributions? inversions of hypothesis tests? minimize the discussion of intervals? or just wait until we have formulas in place for standard errors and approximating distributions to use traditional methods? We discuss how the bootstrapping approach is accessible to students early in an introductory course and may offer some pedagogical advantages for helping students understand the general ideas of interval estimation.


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