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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2112.07737 |
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| _version_ | 1866913368509513728 |
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| author | Totty, Njesa Molyneux, James Fuentes, Claudio |
| author_facet | Totty, Njesa Molyneux, James Fuentes, Claudio |
| contents | Bootstrapping and other resampling methods are increasingly appearing in the textbooks and curricula of courses that introduce undergraduate students to statistical methods. In order to teach the bootstrap well, students and instructors need to be aware of the assumptions behind these intervals. In this article we discuss important assumptions about simple non-parametric bootstrap intervals and their corresponding hypothesis tests. We present simulations that instructors can use to help students understand some of the assumptions behind these methods. The simulations will be especially relevant to instructors who desire to increase accessibility for students from non-mathematical backgrounds, including those with math anxiety. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2112_07737 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | The Importance of Discussing Assumptions when Teaching Bootstrapping Totty, Njesa Molyneux, James Fuentes, Claudio Other Statistics Computation Bootstrapping and other resampling methods are increasingly appearing in the textbooks and curricula of courses that introduce undergraduate students to statistical methods. In order to teach the bootstrap well, students and instructors need to be aware of the assumptions behind these intervals. In this article we discuss important assumptions about simple non-parametric bootstrap intervals and their corresponding hypothesis tests. We present simulations that instructors can use to help students understand some of the assumptions behind these methods. The simulations will be especially relevant to instructors who desire to increase accessibility for students from non-mathematical backgrounds, including those with math anxiety. |
| title | The Importance of Discussing Assumptions when Teaching Bootstrapping |
| topic | Other Statistics Computation |
| url | https://arxiv.org/abs/2112.07737 |