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    "# Chapter Exercise\n"
   ]
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   "source": [
    "Apply the key ideas from this chapter in the connected task below. Work in your own notebook or local project. Keep your implementation, reasoning, and verification results together.\n"
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    "## Estimate with a bootstrap interval\n",
    "\n",
    "1. Use a real chapter dataset and define the population, available sample, and parameter you want to estimate.\n",
    "\n",
    "2. Compute the estimate and generate a bootstrap distribution by resampling the observed sample with replacement. State the percentile convention and confidence level.\n",
    "\n",
    "3. Compare interval widths at two confidence levels and verify a small percentile calculation by hand. Explain repeated-sampling coverage and limitations caused by unrepresentative data or an unsuitable bootstrap statistic.\n"
   ]
  },
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   "id": "3e55b2b4",
   "metadata": {},
   "source": [
    "Return to the chapter lessons as needed: [Percentiles](1101-percentiles.ipynb), [The Bootstrap](1102-bootstrap.ipynb), [Confidence Intervals](1103-confidence-intervals.ipynb).\n"
   ]
  }
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