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63 lines
1.4 KiB
Plaintext
63 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": "0237d0fb",
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"metadata": {},
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"source": [
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"# Sampling variability\n",
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"We create population (known distribution), then repeatedly take random samples and computes the sample mean. Then, we compare how variability changes for different sample sizes (n). "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "aa141540",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(np.float64(3.2549582990800525), np.float64(2.13814149865377))"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"rng = np.random.default_rng(7)\n",
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"population = rng.lognormal(mean=1.0, sigma=0.6, size=200_000)\n",
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"popMu = population.mean()\n",
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"popSD = population.std(ddof=0)\n",
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"popMu, popSD"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv (3.14.2)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.14.2"
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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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