PTest.ipynb

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       "('answercheck.py', <http.client.HTTPMessage at 0x22adaab7c40>)"
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   "source": [
    "##ANSWER##\n",
    "#Install answercheck in current director\n",
    "from urllib.request import urlretrieve\n",
    "urlretrieve('https://raw.githubusercontent.com/colbrydi/jupytercheck/master/answercheck.py', filename='answercheck.py')\n",
    "##ANSWER##"
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  {
   "cell_type": "markdown",
   "id": "031076bc",
   "metadata": {},
   "source": [
    "# PTest \n",
    "Understanding and computing using the Ptest "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87deb2e1",
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   "source": [
    "# Description \n",
    "A p-test is a statistical method to test the validity of a commonly accepted claim about a population. That commonly accepted claim is called a null hypothesis. Based on the p-value, we reject or fail to reject a null hypothesis.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a182669f",
   "metadata": {},
   "source": [
    "# Training Materials \n",
    "https://www.youtube.com/watch?v=KS6KEWaoOOE\n",
    "\n",
    "https://www.youtube.com/watch?v=8Aw45HN5lnA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c7fd81c",
   "metadata": {},
   "source": [
    "# Self Assessment "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6b14d8f0",
   "metadata": {},
   "outputs": [],
   "source": []
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