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document.styleSheets.dynCom.addRule(".msocomtxt","border-bottom: 2pt solid threedshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","border-left: 1pt solid threedlightshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","padding: 3pt 3pt 3pt 3pt"); document.styleSheets.dynCom.addRule(".msocomtxt","z-index: 100"); } // --> <!-- function msoCommentShow(anchor_id, com_id) { if(msoBrowserCheck()) { c = document.all(com_id); a = document.all(anchor_id); if (null != c && null == c.length && null != a && null == a.length) { var cw = c.offsetWidth; var ch = c.offsetHeight; var aw = a.offsetWidth; var ah = a.offsetHeight; var x = a.offsetLeft; var y = a.offsetTop; var el = a; while (el.tagName != "BODY") { el = el.offsetParent; x = x + el.offsetLeft; y = y + el.offsetTop; } var bw = document.body.clientWidth; var bh = document.body.clientHeight; var bsl = document.body.scrollLeft; var bst = document.body.scrollTop; if (x + cw + ah / 2 > bw + bsl && x + aw - ah / 2 - cw >= bsl ) { c.style.left = x + aw - ah / 2 - cw; } else { c.style.left = x + ah / 2; } if (y + ch + ah / 2 > bh + bst && y + ah / 2 - ch >= bst ) { c.style.top = y + ah / 2 - ch; } else { c.style.top = y + ah / 2; } c.style.visibility = "visible"; } } } function msoCommentHide(com_id) { if(msoBrowserCheck()) { c = document.all(com_id); if (null != c && null == c.length) { c.style.visibility = "hidden"; c.style.left = -1000; c.style.top = -1000; } } } function msoBrowserCheck() { ms = navigator.appVersion.indexOf("MSIE"); vers = navigator.appVersion.substring(ms + 5, ms + 6); ie4 = (ms > 0) && (parseInt(vers) >= 4); return ie4; } if (msoBrowserCheck()) { document.styleSheets.dynCom.addRule(".msocomanchor","background: infobackground"); document.styleSheets.dynCom.addRule(".msocomoff","display: none"); document.styleSheets.dynCom.addRule(".msocomtxt","visibility: hidden"); document.styleSheets.dynCom.addRule(".msocomtxt","position: absolute"); document.styleSheets.dynCom.addRule(".msocomtxt","top: -1000"); document.styleSheets.dynCom.addRule(".msocomtxt","left: -1000"); document.styleSheets.dynCom.addRule(".msocomtxt","width: 33%"); document.styleSheets.dynCom.addRule(".msocomtxt","background: infobackground"); document.styleSheets.dynCom.addRule(".msocomtxt","color: infotext"); document.styleSheets.dynCom.addRule(".msocomtxt","border-top: 1pt solid threedlightshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","border-right: 2pt solid threedshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","border-bottom: 2pt solid threedshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","border-left: 1pt solid threedlightshadow"); document.styleSheets.dynCom.addRule(".msocomtxt","padding: 3pt 3pt 3pt 3pt"); document.styleSheets.dynCom.addRule(".msocomtxt","z-index: 100"); } // --> Samara is doing research into factors that make engineering students more likely to persist through their program. Let’s assume she knew the average GPA for students in this program was 3.20, with a standard deviation of 0.80. To explore the situation, she began by accessing information about the population of GPAs for these students. Suppose she wanted to know which GPA would put a particular student in the bottom 10% of the distribution. Which equation should she