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    "# Example 3: Bootstrap intuition - Mean vs Median\n",
    "\n",
    "**Students tasks**\n",
    "\n",
    "## Task A : Descriptive stats (Population=500,000)\n",
    "\n",
    "- [ ] Compute and report: mean, median, SD, IQR, five-number\n",
    "- [ ] Plot (histogram and boxplot)\n",
    "- [ ] Identify outlier using the 1.5IQR rule\n",
    "\n",
    "## Task B: Sampling variability\n",
    "\n",
    "- [ ] using the provided population, run repeated samplings for n=30, 50,100\n",
    "- [ ] Plot the sampling distribution (3 histograms)\n",
    "- [ ] Make a table with the empirical standard error (SD) vs n size\n",
    "\n",
    "## Task C: Bootstrap mean vs median\n",
    "\n",
    "- [ ] Bootstrap (resample with replacement from data) the mean and median (B=5000) for dataset with outliers (*)\n",
    "- [ ] Plot both bootstrap distributions\n",
    "- [ ] Compute 95% percentils CIs for the mean and median\n",
    "- [ ] Repeat after removing the the outliers and compare:\n",
    "    - [ ] Which statistics changes more (mean or median)?\n",
    "    - [ ] Which bootstrap distribution is wider, and why?"
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