What Every Instructor Should Know About the Bootstrap
Date: Monday, May 18
Time: 3:30 p.m. EDT, 2:30 p.m CDT, 1:30 p.m. MDT, 12:30 p.m. PDT
Host: Tim Hesterberg & Kate Kozak
Statistical concepts such as sampling distributions, standard errors, and P-values are difficult for many students. A good way to get hands-on experience with these abstract concepts is using bootstrapping and permutation tests, and we’ll demonstrate using a variety of examples. Though bootstrapping has enormous potential in statistics education and practice, there are subtle issues and ways to go wrong. For example, the common combination of nonparametric bootstrapping and bootstrap percentile confidence intervals is less accurate than using t-intervals for small samples, though more accurate for larger samples. The goals of this talk are to provide a deeper understanding of bootstrap methods – how they work, when they work or not, which methods work better– and to highlight pedagogical issues.
Registration link: https://maa.zoom.us/webinar/register/WN_-5dV5CW9SYeVkKPAfI4KNw