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feat(store): image + cleaned up markdown
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content/10_multiple_arrival_processes.ipynb

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"\n",
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"We will work with a hypothetical hospital that provides emergency orthopedic surgery to different classes of patient.\n",
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"\n",
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"![model image](img/multiple_arrivals.png \"Urgent care call centre\")\n",
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"<img src=\"img/multiple_arrivals.png\" alt=\"model image\" width=\"800\">\n",
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"\n",
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"\n",
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"| ID | Arrival Type | Distribution | Mean (mins) |\n",
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"|----|-----------------|--------------|-------------|\n",
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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": "3.11.11"
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"version": "3.11.14"
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}
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},
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"nbformat": 4,

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