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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="author" content="Irena Austin" />
<meta name="date" content="2026-02-22" />
<title>Sleep Study Analysis and Normality Analysis</title>
<script>// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
// be compatible with the behavior of Pandoc < 2.8).
document.addEventListener('DOMContentLoaded', function(e) {
var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
var i, h, a;
for (i = 0; i < hs.length; i++) {
h = hs[i];
if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6
a = h.attributes;
while (a.length > 0) h.removeAttribute(a[0].name);
}
});
</script>
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) 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cDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg+FB1ubjlnRNvl3o6IEU2w7fdNPhm/hh+FLysUu6++DLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK/m4szFFR7ch0toUgBTdWHr7EpaWru6+6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d/jLST9v5YflasP6v/CO7+GNAPC2BMZWmsOjp2NNbfHwMCJD+LPVL+D/OYlWEEI/9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2+bBDWBud1Va4pcCn8CPqxlh/fgtG8IPaPH8C5wk6/nZDv69jurV5QhtwE0x2iqOsj9Mx8B9/0EaUdiPfOYYDCi/q9jhWRuupMDEU0+CtX0sDFxv07T/K5niBPqN9+tQjgEc31NGCXFeMcCEuQBIc/BK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF/R0/u5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y+RBgogrXPZ8E1yIHoHIFUM+AbJhE7lbMtt8ApL+xmZW7PwbjAO0fAVoXQOuiSP/ksIVdFZ0aulsamKUzwPZ/NYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7+pg+jUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd/J5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7+RHJHP+2hqfugo/MvI2H/mqr4b9tFnKSRY1Y5Ek80Nm/WIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw+nSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv+rWa/Wih0vlbX6Zb75T5C0qNKVFvH1QL/vazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f+XdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS/xTo+P5wGFak62ap1PVFFN4v/y+xuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f/6dhK6gQokFKhWX3urrjk/rnI0pgfpGMeuQIUaEM7+GF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x/GdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY+9yGFQtEo0GQPNv6vS2drj4+1jHbv3aJSMUWP+QTZrmbNTjU8wyG/iXNNpskybLcJ3CiTF5Ir+JYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d+/XeNRTZ9/1OPfG7+2hwzd5W3D+hmyjsRcUg/+Cavb++Vh2ls3L7zT/etOnHNxeerv313vzLVqPai4nJv+K1FC6040/4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk/U+D4gTXW+j0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7/R561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l+WKHmLTJwRv9E8GWJ6dYvf/FmEyEGr+gyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b+tMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1+Q2BIRvf6J6Kgatnrbiem+CFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ+CuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih/xELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD+uOe+kWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby/+SSbPY8/NH6vpl/Esq3Ae4ZU1HC44KFiI9o7CEgab/RqHbj7s5KAg06s39ZP/zxI/mVuF/TbTSy+3Fb8If9/cv7+wt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi/C8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0+Xxx/5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB/qM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J/UKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc/THK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd++U/3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg+e4As38MfGquNt7oUws6Ysarj1/efE+yst86YUVNvDdts3Pv5c8m/aP0C+f8/Qb+IMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT/v27wm09jRYVc/e++iyx2tyzJb/n3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy/t27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj/S5ki1jL/a0GC6+2L6Um+aoddlNFuj+bJ8mH/iaLh8I0/U51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz+1UmhTJyJGxZzw+wsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ/9pPA4RKTASWahmh+8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ/tHnODtENw/2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8+/Elg5j4Gxur3J8o2PJ4rg+2d08T/fwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r/aMMj8onCP/DuDZOuN+GPPr/+p7bx+7JlbYdppcNhzKU/1Px5aiaGDn/s1iGMaBcleKUo/v9rcxkZj7DBEKOfrayytXNLYiUdBY+pleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF/Qa9Pdf/QqOSqCiE/EE1/XIVKTc2tzWbHnimrEd+Vyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu/kzIdx+BxC0ay9zRSvoS0F2lIxI+X7klU63I40gLQ3w5ep5na+SFnba3z5D64zv+QtM4n4ffG3tq4aNHGRfxgrXPMim+5487abL7xhdseIRn1KDl+7aINixdv0OD+JSPwKf5+xoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz+9a/v2PH1Hfz9236w+ZrPXvWfAxlj4NLLHpq3c/PQ3uvmvbrjG7fe+o2y/cLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF/tkkOGPW2ibWaBTkeZ/dvPWazXfOnnvL6jkRXpi85sFzZt+55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG/yVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6/OU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR/rg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x+MJiOA3YwhDRQrWU0u/0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0+a0uoiFH/xcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL+j3D/uwhBRdyAyozeZwvQzs79soi+BKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo/ybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM+3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho/VDkzQfLE+IrYoJXkD19pdP7OwG/voIUtagiWiZ4PAFTHHlTVhRZ7dYmPar+NJ+8JhmR6DFK5DV1foHoLNO/pHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj+i5++WZfKeViJfW5HnUakVL4UCNVkA4+ETfIqx4B5xSaP2L1yn0zn2ltPn4+OqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL/NNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE+cPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP+Kps8J9/3mGQIteY/LGPC+L7872SPR2br5fy8MtKBMHedGuM28/MZmPJMrGgi3Gb1S+Si1/L/zrZwO9XH1ce/z7ZQ1WSoY/+pMb5FT4ua0Wm+Jf/298nFmChEQ+Ti71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa/1IFO1/jdWr/8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc+KJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3/tM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB/yox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt/qMDnvLpPNTXfNa60z5/yjXQOMq+lNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd+RiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb/pBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap/30lnVESgNnvjbUoT6w9N+Xoio0qcYOIM+heg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X+PE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa+dAdAbMYX6HVF8A+7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf/Nf+Ny65BhYxxxV+77XJ2wfQ389/IQPgajXbwMsuAz/0IaQcXJavKbRqR2IqyZruXjVC2+hdee/5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab/wXl2CNe7s/qCtTvWgG5kpBmCBlSzDS/r8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8/NCfiOUVirYcBbIeA2+iF68rQIo3B/S628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935+k1efkV51mzzrM0LL3/20avnwMeKuWyOUZg2TasSqZ+KcZQiOn1Iu2Vh497ALUVZiCKt/gh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1/uzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb+okJ5JRDyf54Axur1D+WS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt+t/qW2+93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz+tJo+wijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF+kuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj+Z4i+42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA/hRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz+x+Fkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3/RTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY+uSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN+fiK86LeXj+Sc5lPKy+k/vCUI/DaLFYCWHr6nbXuILTIsb5imNKY/rCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T/yOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH+L0eCPxmsa5ZpgRJSDZ11yDv+jmbd86vxZfc1WcZJ3UkMq1BOOOVtvu/+pB+en186d3GTwWAw2jheaJs09/+LNfZft37DALyrNj1wABMuUKbODyTVnT/KYbJ3Tpq8IrNh92dkxOj5P/YpZx4/ycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB+cV99/eTF6294dA8+TK6v74MHVpYNRt/I30e8QGTOOdfGWzzxcy+87a7bLjw37rHw1nPzp0KyyRSeZO+QQhInt3dYgvycjrPOv+T8s1rptaP84VeywdWX2T4ysr0/7TLIs6+x9zib56ye1dM9e/XsZmePY3NDs9zlnNVt4+WgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS+XPplV2ts4bvCwZu+KzgITtxepaPRzWdpv74muvv6RO0SorX6cu/dqKn/XWnrtp/Zragz13DUCl5myiFW2Ycvb0PtsXnU+tx8pvLFbUspLX68mdegwmOif/NPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3/jdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx+6arPqbkcNAHoFPzKUUQ+qL0k97pjbZv1I/egC9zTFbrrlFpNdmea+gIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV/ScS+zjlASyUTVv/AJ46gkJI4bHX4lTnloctxPZE1ckS3+jG2fKIjkQFyzuo8jvYQG1OrGvJPSTu/nSp9PHNTl4z5hK/8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt/wkSx/JCmP5/cBKQfl/5gd+rOS/+p91/+YCg5CXK2W4M9fu+/6xxX+vnelVuldIDCG0VQTpU9Dw4pRfei+6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15+5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl/5bqzYqT9hMmptEXDgTqP3Wiye+sD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC/v8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4+Ti7W9D/OZrLChdwxmPNiBRqVjnpK/aGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3+OfU5/ieLS/NuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD+N2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad/3t2KTtPobnX6D8C8pd0MDP+Kx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE+JGTS3JoEhTrz8/CB+5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk+htwN5A0V3RCPoD/yXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps/t+0iCT3AHVtZC7JDCXfR7OSb/Xja5H3zQbZL1B+ULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset+nQWdS/ZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5+LhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW/3Q5Nn8BZEuzqEI7HK3n0+zFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj/mQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2/BWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY/yCZu/Amd5Or9uS3DYaeqVOhH7gZN/8I/wi1fEuLXvyNivibjuKvN+1Nc01HF/3h+ef/sOhox8MPd5SFucPjorQwXT+ytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP/79nbvCXFOY+PUjrT7/otsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9+pbs6E/Vu7Nk642/PYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu/19/5QW9Rv1U1ridT22i+53pzumbs+XFFXYC++CGsTj5JUT/GCgRt3n78i2n71FHG4/u6X++9+raya7os3ZbDmgWfXun44e+u2NZKuGZ0HiF8M4TlMPR+EU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l+uXrbjPUyep+8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq+NzK/OKSbsfl79o9G20R+brBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery/7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1+SdazRrfddkBU98t1htvWrbjqSqjaCguxrffM/5zDCpBALUycmajhd+R6ww4SWafuZ5eU+tPid4lgd3gt+b/Y9rQoZNmiXYPXyRHbRs8zX/f4WIFjWZJtUdSD55AP3xtXH+ZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy/8F0GoqYPv75Yh9j3x4DuJ+uEzHRpAq2lMqb+qfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT+LUgx0Pg/p87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv/u9ZUWUx+PYFueUKwaNvbtu+Xps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L/BehXuHqfaBwBEU7hfVLcXvS4VQv+T/vaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq+k4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S/tkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP+EaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP/dsZ8+fP75D/9Uu5Gs3FY/2SxPld0DHOciXI9gqjcEidXjE+3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8+LTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7++wW4gRDRbaxw2nrOGm+xOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot/FpHvIUjJovFEoYvHYV9C5Y/xN9OfcalvII37UEhTbTg/AQIaPb4Vz6j5u8/aViycMod/fkDcpu8QZbZoeBi/vbzP3XPsZvOubMtaPHkD9jt6+U2O7vqU/9C9SMvgrXpQNG/E0oJxun+CiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp/VAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y+pGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr+P2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr+P30f3OkPQ72aO0xYo3/EsmO3QO5qEF8S0qQH0UsKXv0brnl9+8M7jF174+DsfvPOl1au/RL5/9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x+4ofw+3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ+pYl+Sf8YcurfmXP5F/kj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0/OM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw+1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g+Rn533qkocdvLs2HmhU75br/MmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3/3pYNi3bS+Rd+GjOfVpAPNd6y64Gsz1GaZleWIPoYL/v9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk/Iojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB/36kP+K38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL+x03nhh+oNo5e77psxg9Q5LzebIKD+fsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O/kdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P/F7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF/BRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm+RdmIJQST/ZfVdudUvh9S/qqNvqT98g9SQ3lHibZY0mRVHooyDN/FHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi+d0s4+ztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr+1VZFcEZ/PdJkn1hOs8SXS/NFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq+rbyg1Z+O8VsNC1UmcvORPRfxtPrfRwL2p/oA1eZp6Z/aGffoewaXcA/xBlKlQLfhQL/oPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp/bXh5e5YXW2Ngfvza0ZF6UgFL/E0fTq4LBlvTE2qb/KuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8/VWi33c3bBZnGY05+dm+3qc7fNmj4YGKLj2nfqFP+g7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j+SYEWHlZ0K/Hgsh/Ztsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D+YVyKd0jw3iumwi/BC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc/J5uGm6CViW5mulYMk+HqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br+fcLyoAyu8D9B7bgmzUqfFobF5nKnK4+t8MPJkI/xHUNWk117jugWF+xazTAALQn6+UE9lhoI5ApGA/iuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL/3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n+jspIsHFjJrTOdzSMuOa9DbDcj/nH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U/8JbJZPJJLBLolH1La/RbF9AbC8JJjv/mMnssKjLRBJyqj9QXxNko0Ux/X79epfiXkm6fmKwF/en1HLc6LxloXWKvGa5rVCVL83VuiPcDEX/K5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS/kTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv/36k2sbqCeCFNa+URpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR+D79H56NOz0EVWCTy2/fffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ+T/El3uZqL+FyzSZ8XxpTiI/G0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ+euOeG2SORmKZr/qKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya+vlKqv6aXK1qIj3imL+L6hL+yvUlFfE0VKZ7E8gBY3M/8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry/LgZIlCeP11Z4zs/AwvVwtGFEut5S1JY4lfyT0N/evOLo+rUEgjcqc9IkGpQbv3iW7Co5b+KgjvpzYdH85PLcc4X21ouwEGl/S4qnUAvoSlXUUhR1eKr2VWFTB+GMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH/qPepXQ0Db77CJOAImohB+RPWr31ev5g/kE+zTa4lbvZo8xdWPffQu9yJTPCNB66s+zXoJt/0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0+3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80+UxfUHPlBZIRVNQ+v0xRm8REKPoLmNr0+Uo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV/+mfr0C0r/NkeXbbpPlOTBBwT0mVz1zx9S/wJecBF9Wgv3p032iP2v4VSgfgW2G+HUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt/QRasn2kri+H6L80MJRsmVYJrAKyDItpJUy3/15WYIJqcJ9Q5N/LFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb+IP8gHed+6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha/fJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG/XbOFz+Tcq2MLrcmV28Nmi/OHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw+luPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs+31Wm5qpH+iJWSzqdPr2O7zc2TmtnrzCig6bBd/vgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I/MAp9q9S3Q/clADNm1wEeO+xbwg5OIYHZLY3ehG5lJk2xhco+6JWybpEVz2wrR6hZyD0QXZbeDVB+onmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P+1fAll+SyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y+cf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY/f+ucuMtCuP/e4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn/+7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7/6B23+f+sp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz/Q0hI0m3NKDRfkgsrnamo+p0CAq1FyvC3a3Nak/s5VX282x9Ufy3E39VAx6o7LpCvO2wK+ch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5+jP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00/Wavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR+gufwA8GegxUEo4A+gd0BASHiH6jYMLIsUdQJTs/C641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW+AMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA/xUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA/E+DXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX/k/7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh/TK18StOPhwG9Xo5mqXAxvw/79YQwwDR+nAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw+oTFqxtz8dxwtogBnF9MjIl/in+K8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O+GC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6/OC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx+v1UKPsfvzQU0Kc83i2VdILmd2/yX55zT9luN2+Cu4nKfwPcK/CvDVU+pHh8+LaldIf1fA5h3ndT6Fln9/W/9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW/uib/ud+VK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M+VG0KsUdgdvpgP/6NqqP0/gHZFUfGEijZLHpiIgvV5/Bltrj8Qd7XQd5p4P+7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z/vvacG/rjpsvnpzs0B1Id6fmX8119l88XnOxe/uGrzzHcdu7UtY3+2vmXN5zUyj3ZcPl8p1sZSs6/nGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q+lwg1RdRSpFDNzosb44YJXnAfoEOpZW//6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21/BWW5DnPQbn2X1WK43/aM2n18DfSoybbNHijFpamzXI31eRibGUOxSu/lT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO/VjC/EinToFyoNDz2p9XD6g78WgQdPG7Z3R0T/Z5dTM9lsL8Ktek7szl2L+gQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T/4VeamYPlLtffdQsk+2sUTY/zDXl/05W53/Bz9UK3p7LjapZ2ZxOm+UlZXrL3HHGqO8+wVroDaCTTnTxitMxmiAAYQzVJQH+nj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj/9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz+3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62/qN/tjQxnSnhnKPw+LNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh/LvQZnt0evgIhTFV0kE/PYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8/Cj1Y9NY6cnGVW0CjTLaz7E3epvaT/LtTV72Rs+0WVVmd0dz/MGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf/z+fdka+eKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ+bewnf18ap4Ib+mSMrtDU5zqlD8QANa5MBGh/OwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq+7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2+YuMbmE9dwGYB4KFTsvnDE6Ah47r/fE3AYI+oXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU/A/Jsw+vWDa/7emewLaoeibaF1B9qUNnuqWK3+UfXYVL1v/omD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk+gk8pL0mcCDOn08MDAQlf+/SlTZ1z12fnqntOhbOTL9/ZdevbAPN+yby1f/uUtC/ixm8ZBo59LTXEW060hGrTDplNprWd58fwB/b/E27BdS/s7U+rGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt+Kh6HN4ti6lxIhT/wahnZtWwzlY9QHQ2c79C+dxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah/PFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn+2MnYv36dbMDBTonl/T/ma5IKAyEGz+4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK/yp/gLEBVat5WnPDdKA574ubuFJ/IUfZ/Y2Nt6mN+ZNNTSTaeI56gKwkXerTe9DDHUw8/H35FY3nNN7GGuBKWhrV9ep+0k1WjNWVaHkW1yA+QHWNu8rtBw2a5YXuE40rs7/GA+j09V3hA98yRnFPOGr8ltGlsFdD/7tRce3LH6Trcneuiy7K7J3khKu+3qUaXPWaX7T6/Kfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM+0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz+XmcOs1H31U6cC6RTVLfCg7RNBF1UF2/wBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH+WC0E1qOGtP66s1MYv+VLu8/XFXvV/ZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86/1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp/lYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm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<h1 class="title toc-ignore">Sleep Study Analysis and Normality
Analysis</h1>
<h4 class="author">Irena Austin</h4>
<h4 class="date">2026-02-22</h4>
</div>
<div id="this-chunk-loads-your-libraries-but-wont-show-up-in-the-final-report" class="section level1">
<h1>This chunk loads your libraries but won’t show up in the final
report</h1>
<p>library(AppliedPredictiveModeling) library(caret) library(e1071)
library(corrplot)</p>
<div id="section-1-data-loading-preprocessing" class="section level2">
<h2>Section 1: Data Loading & Preprocessing</h2>
<p>In this section, we load the sleep study data and handle missing
values to ensure the dataset is ready for analysis.</p>
<pre class="r"><code># Paste your Section 1 code here
sleep_data <- read.csv("sleep_study_1000.csv", header = TRUE)
target_cols <- c("SleepDuration", "SleepEfficiency", "CaffeineConsumption")
sleep_numeric <- sleep_data[, target_cols]
sleep_numeric[] <- lapply(sleep_numeric, function(x) as.numeric(as.character(x)))
valid_rows <- complete.cases(sleep_numeric)
sleep_data <- sleep_data[valid_rows, ]
sleep_numeric <- sleep_numeric[valid_rows, ]</code></pre>
</div>
<div id="section-2-box-cox-transformations" class="section level2">
<h2>Section 2: Box-Cox Transformations</h2>
<p>We use the Box-Cox method to normalize skewed variables, which is a
key requirement for many predictive models.</p>
<pre class="r"><code># Paste your Section 2 code here
preprocess_params <- preProcess(sleep_numeric, method = c("BoxCox", "center", "scale"))
sleep_transformed <- predict(preprocess_params, sleep_numeric)
# Visualizing the change
par(mfrow = c(1, 2))
hist(sleep_numeric$CaffeineConsumption, main = "Original", col = "red")
hist(sleep_transformed$CaffeineConsumption, main = "Transformed", col = "green")</code></pre>
<p><img role="img" aria-label 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" alt width="672" /></p>
</div>
<div id="section-3-principal-component-analysis-pca" class="section level2">
<h2>Section 3: Principal Component Analysis (PCA)</h2>
<p>PCA allows us to reduce the dimensionality of the sleep habits data
while retaining the most significant variance.</p>
<pre class="r"><code># Paste your Section 3 code here
pca_params <- preProcess(sleep_numeric, method = c("center", "scale", "pca"))
sleep_pca <- predict(pca_params, sleep_numeric)
print(pca_params)</code></pre>
<pre><code>## Created from 744 samples and 3 variables
##
## Pre-processing:
## - centered (3)
## - ignored (0)
## - principal component signal extraction (3)
## - scaled (3)
##
## PCA needed 3 components to capture 95 percent of the variance</code></pre>
</div>
<div id="section-4-correlation-and-redundancy" class="section level2">
<h2>Section 4: Correlation and Redundancy</h2>
<p>Finally, we identify and remove highly correlated variables to
prevent multicollinearity in our future models.</p>
<pre class="r"><code># Paste your Section 4 code here
corr_matrix <- cor(sleep_numeric)
corrplot(corr_matrix, method = "color", addCoef.col = "black")</code></pre>
<p><img role="img" aria-label 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" alt width="672" /></p>
<pre class="r"><code>high_corr <- findCorrelation(corr_matrix, cutoff = 0.75)
# Filter logic
if(length(high_corr) > 0) {
sleep_filtered <- sleep_numeric[, -high_corr]
} else {
sleep_filtered <- sleep_numeric
}
featurePlot(x = sleep_filtered,
y = as.factor(sleep_data$SleepEfficiency),
plot = "box")</code></pre>
<p><img role="img" aria-label 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" alt width="672" /></p>
</div>
<div id="r-markdown" class="section level2">
<h2>R Markdown</h2>
<p>This is an R Markdown document. Markdown is a simple formatting
syntax for authoring HTML, PDF, and MS Word documents. For more details
on using R Markdown see <a href="http://rmarkdown.rstudio.com" class="uri">http://rmarkdown.rstudio.com</a>.</p>
<p>When you click the <strong>Knit</strong> button a document will be
generated that includes both content as well as the output of any
embedded R code chunks within the document. You can embed an R code
chunk like this:</p>
<pre class="r"><code>summary(cars)</code></pre>
<pre><code>## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00</code></pre>
</div>
<div id="including-plots" class="section level2">
<h2>Including Plots</h2>
<p>You can also embed plots, for example:</p>
<p><img role="img" aria-label src="data:image/png;base64,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" alt width="672" /></p>
<p>Note that the <code>echo = FALSE</code> parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.</p>
</div>
<div id="data-overview" class="section level2">
<h2>Data Overview</h2>
<p>First, we load the dataset and examine the raw distribution of sleep
hours.</p>
<pre class="r"><code>sleep_data <- read.csv("sleep_study_1000.csv")
x <- na.omit(sleep_data$Sleep_Duration)
summary(x)</code></pre>
<pre><code>## Length Class Mode
## 0 NULL NULL</code></pre>
</div>
<div id="shape-and-normality-testing" class="section level2">
<h2>Shape and Normality Testing</h2>
<p>We now calculate the Skewness and Kurtosis, followed by a Jarque-Bera
test to statistically check for normality.</p>
<pre class="r"><code># Calculate shape
print(paste("Skewness:", skewness(x)))</code></pre>
<pre><code>## Warning in mean.default(x): argument is not numeric or logical: returning NA</code></pre>
<pre><code>## [1] "Skewness: NaN"</code></pre>
<pre class="r"><code>print(paste("Kurtosis:", kurtosis(x)))</code></pre>
<pre><code>## Warning in mean.default(x): argument is not numeric or logical: returning NA</code></pre>
<pre><code>## [1] "Kurtosis: NaN"</code></pre>
<pre class="r"><code># Statistical Test
jarque.bera.test(x)</code></pre>
<pre><code>##
## Jarque Bera Test
##
## data: x
## X-squared = NaN, df = 2, p-value = NA</code></pre>
</div>
<div id="visual-analysis" class="section level2">
<h2>Visual Analysis</h2>
<p>Below, we compare the actual data distribution against a theoretical
normal curve using a side-by-side layout.</p>
<pre class="r"><code>par(mfrow = c(1, 2))
# 1. Load the data
sleep_data <- read.csv("sleep_study_1000.csv", header = TRUE)
# 2. THE FIX: Force the Sleep_Duration column to be numeric
# This removes any hidden text/formatting and turns it into real numbers
sleep_data$SleepDuration <- as.numeric(as.character(sleep_data$SleepDuration))
# 3. Handle missing values (NA) which can also break plots
x <- na.omit(sleep_data$SleepDuration)
# 4. Now the histogram will work
hist(x, prob = TRUE, main = "Density Histogram", col = "lightblue")
# Histogram
hist(x, prob = TRUE, main = "Density Histogram", col = "lightblue")
lines(density(x), col = "darkblue", lwd = 2)</code></pre>
<p><img role="img" aria-label 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" alt width="960" /></p>
<pre class="r"><code># QQ Plot
qqnorm(x)
qqline(x, col = "red")</code></pre>
<p><img role="img" aria-label 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" alt width="960" /></p>
</div>
<div id="section-5-impact-of-age-and-gender-on-sleep-efficiency" class="section level2">
<h2>Section 5: Impact of Age and Gender on Sleep Efficiency</h2>
<p>In this section, we analyze how demographic factors contribute to
sleep quality. We use a linear regression model to quantify the impact
of Age and Gender on Sleep Efficiency.</p>
<pre class="r"><code># 1. Ensure columns are the correct type for modeling
sleep_data$Age <- as.numeric(as.character(sleep_data$Age))
sleep_data$Gender <- as.factor(sleep_data$Gender)
sleep_data$SleepEfficiency <- as.numeric(as.character(sleep_data$SleepEfficiency))
# 2. Visual Analysis: Boxplot for Gender
# This helps identify distribution differences between groups
boxplot(SleepEfficiency ~ Gender, data = sleep_data,
main = "Sleep Efficiency by Gender",
col = c("pink", "lightblue"),
ylab = "Efficiency Score")</code></pre>
<p><img role="img" aria-label 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" alt width="672" /></p>
<pre class="r"><code># 3. Visual Analysis: Scatterplot for Age
# We add a regression line to visualize the trend
plot(sleep_data$Age, sleep_data$SleepEfficiency,
main = "Sleep Efficiency vs. Age",
xlab = "Age", ylab = "Efficiency Score",
pch = 16, col = "darkgreen")
abline(lm(SleepEfficiency ~ Age, data = sleep_data), col = "red", lwd = 2)</code></pre>
<p><img role="img" aria-label 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" alt width="672" /></p>
<pre class="r"><code># 4. Statistical Analysis: Linear Regression
# We model Sleep Efficiency as a function of Age and Gender
efficiency_model <- lm(SleepEfficiency ~ Age + Gender, data = sleep_data)
summary(efficiency_model)</code></pre>
<pre><code>##
## Call:
## lm(formula = SleepEfficiency ~ Age + Gender, data = sleep_data)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.231784 -0.109507 -0.003476 0.106797 0.240121
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 0.7390692 0.0127436 57.995 <2e-16 ***
## Age -0.0003713 0.0002243 -1.656 0.0981 .
## GenderMale -0.0006025 0.0081065 -0.074 0.9408
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.1281 on 997 degrees of freedom
## Multiple R-squared: 0.002743, Adjusted R-squared: 0.000742
## F-statistic: 1.371 on 2 and 997 DF, p-value: 0.2544</code></pre>
<pre class="r"><code># 5. Visualizing the Model Effects
# We use the 'effects' package to see isolated contributions
library(effects)
eff_plot <- allEffects(efficiency_model)
plot(eff_plot, main = "Predicted Effects on Sleep Efficiency")</code></pre>
<p><img role="img" aria-label 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