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51 lines
1.4 KiB
Plaintext
51 lines
1.4 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "eb81ed47",
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"metadata": {},
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"source": [
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"# Example 3: Bootstrap intuition - Mean vs Median\n",
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"\n",
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"**Students tasks**\n",
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"\n",
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"## Task A : Descriptive stats\n",
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"\n",
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"- [ ] Compute and report: mean, median, SD, IQR, five-number\n",
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"- [ ] Plot (histogram and boxplot)\n",
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"- [ ] Identify outlier using the 1.5IQR rule\n",
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"\n",
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"## Task B: Sampling variability\n",
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"\n",
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"- [ ] using the provided population, run repeated samplings for n=30, 50,100\n",
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"- [ ] Plot the sampling distribution (3 histograms)\n",
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"- [ ] Make a table with the empirical standard error (SD) vs n size\n",
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"\n",
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"## Task C: Bootstrap mean vs median\n",
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"\n",
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"- [ ] Bootstrap (resample with replacement from data) the mean and median (B=5000) for dataset with outliers (*)\n",
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"- [ ] Plot both bootstrap distributions\n",
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"- [ ] Compute 95% percentils CIs for the mean and median\n",
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"- [ ] Repeat after removing the the outliers and compare:\n",
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" - [ ] Which statistics changes more (mean or median)?\n",
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" - [ ] Which bootstrap distribution is wider, and why?"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6abe3332",
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"metadata": {},
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"source": [
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"- [ ] Texto"
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]
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}
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],
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"metadata": {
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"language_info": {
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"name": "python"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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