.pf{position:relative;background-color:#fff;overflow:hidden;margin:0;border:0}.pc{position:absolute;border:0;padding:0;margin:0;top:0;left:0;width:100%;height:100%;overflow:hidden;display:block;transform-origin:0 0;-ms-transform-origin:0 0;-webkit-transform-origin:0 0}.bi{position:absolute;border:0;margin:0}.t{position:absolute;white-space:pre;font-size:1px;transform-origin:0 100%;-ms-transform-origin:0 100%;-webkit-transform-origin:0 100%;unicode-bidi:bidi-override;-moz-font-feature-settings:"liga" 0}.t:after{content:''}.t:before{content:'';display:inline-block}.t span{position:relative;unicode-bidi:bidi-override}._{display:inline-block;color:transparent;z-index:-1}.pi{display:none}@media screen{.pf{margin:13px auto;box-shadow:1px 1px 3px 1px #333;border-collapse:separate}}@font-face{font-family:ff1;src:url(data:application/font-woff;base64,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) format("woff")}.ff1{font-family:ff1;line-height:.734863;font-style:normal;font-weight:400;visibility:visible}@font-face{font-family:ff2;src:url(data:application/font-woff;base64,d09GRgABAAAAAA/0AA8AAAAAGRQAAQAKAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAAP2AAAABwAAAAcdTbCJEdERUYAAA+8AAAAHAAAAB4AJwATT1MvMgAAAcwAAABXAAAAYJ+ioV9jbWFwAAACWAAAAHkAAAF6Cp4iOGN2dCAAAAigAAAAawAAALobgBmfZnBnbQAAAtQAAAS0AAAH4LtzpHVnbHlmAAAJKAAAA0UAAARAnCcc1GhlYWQAAAFYAAAANAAAADYHF/IGaGhlYQAAAYwAAAAeAAAAJAzbB69obXR4AAACJAAAADQAAAA0NsoEP2xvY2EAAAkMAAAAHAAAABwFigbMbWF4cAAAAawAAAAgAAAAIAGiAJRuYW1lAAAMcAAAAxIAAAbbgkmMY3Bvc3QAAA+EAAAANgAAAEWdC8i4cHJlcAAAB4gAAAEWAAABMeKhBlN4nGNgZGBgYJScJVA7hyme3+YrgzwHAwic9Hk1GURfr16sAKLZZVn3ACkOBiYQDwAbSAk9eJxjYGRgYN3DAATsuxgY/j9nl2VgZEAFvABWOQOcAAAAAQAAAA0AFQACAAAAAAACABAALwBcAAABJgBOAAAAAHicY2Bm+cyswMDKwME6i9WYgYFRHkIzX2RIY2LmYGLi5mRj5mBhYmJ5wMD03oFBIZqBgUEDiBkMHYOdgZQCQwTrHhAfRCowMM4HsVlyWbeB5RgBWX4MOAAC7ABEAAAAAAKqAAACEgAABc8AAAXdAJ4EYgCeAskAnge6AJ4FaACeBLgAMwXJAAQEqACueJxjYGBgZoBgGQZGBhAoAfIYwXwWhgggLcQgABRhYlBgcGRwZfBk8GUIYghhiPj/HygHEnNBFvv/+P/h/wf/7/u/+//2/9v+b4aaiQYY2RjgEoxMQIIJXQHESXgBCwMDK9AcBnYg5gAJcDJwAUluQvoGCQAAIIQX8AAAAHicjVXPTxtHFJ5ZDBgwZJ2mEeoeMtuJXRB2SZW0BUphansdu25ajEGaJT3sgkGmp5xyiFrJPRUN9H95m1xMTrn20P8hh/ZWjsk1fW/WJiRSpa7Wu/O+93Pe+3as7j/cC/XuTme7vfXD9w++a33bbNyvB7Vq5Ru1ufH1+ldrqytffvH5Z3eWPy2XFj4pFm7Lj/1b8zfy7rW52ZnpqezkxHhmzOGsJIBHAYwVRL4ey0DGjXJJBPO9WrkUyHoEIhaAr0xRNhoWkjGISEARX/EVOAKFlkfvWarUUl1acless3VKIQX8WZNiwPfaGte/12Qo4MKuH9h1pmiFWRR8Hz1sVVStCKD+uGeCCGvkycx0VVYPp8sllkzP4HIGV7AgHyV8YYPbhbMQrCUOy85SWtxpEHdhq62Dmuf7YbnUhDlZsypWtSFhogqTNqQ4ptLZqUhKL8zZwGX70VKuK7vxjxrGYvQ1Y4Exv0F+CRZlDRaf/DWPOz+EkqwFsERRW9uXeVpvU3IYL7hSmFcMtyMv/nkXiYfIRMF9xWgJThX4tvbp8urYa2PqUtRNZOLBm/6+FK40SS5nHgXYbralMcTgzfNTD+pnIbhRj6+Fw63Xt1vwQfuhBqdQF70YEbw3pb/i+flLm63/UjNsCzYHO+z71IbTgWL7KEC/rVNZsH3vKVPLSyE4EWlejDQf7pKmP9JcukcSZ9vqaAOZQrMrA+z4aQz9fWTXTzQY6cLca8+X5nperC6H1lZgVc3usYDxIjYJva46IG/IxbhWmHudvi48TFDMXxerEsNQnEAG0fB+3JvHAAIb3VhKibCjQdVwoeLhxILkzjJ6xBEO7LhmhwnL8hHckJXL6VJZwXFHW5ehG9yoAosOhl6wHNjvSgSGmPZ/R9nHUf56FvbWMI1s63N2983L5J7wnt1l91hYo8A3q8jIYmB09whuRV4Xv9EjoT0fVIghQqkPQ6IodnPxpWeJFFpe7ehWR7bae3plWHSqoHCZQvBeGKm9NAySFbKFrNCONxaioYuAqONCVtbxCZOFLP5cHI5FieSVdaG5x0bWWAYsiuCwNrQj+Z2g40S9amMUbYJEjFNteH7op1e55KBaDBOjR5YG0Bip8EhDRRa5XG1YiPo+T10VWh7KUPYEqC1Ne6P22IkMm2HnM5zrzjvSlWZhm5iP6pFAzYT6kne1uXDfypdi4z11c6QWJitbHUPB5TAgw8qbwIjuaiXv2XODGCPxnBYucsYyxiRKEVuIHMLIZtfIjl631nj2/OI9oVzXWYu3dirlEh6DlUTyk3ai+ElnT5+7jImTHf3U4U41qoTJbdTpc8GYsqhDKIEkCBIo0jYKWWvvnSvG+labsYCVDwacWSw7wjg7GDgp5qaJijaRYg5qMqlGjawziGVTrG8xeyWMWqamx1VWTamcM+t4CSfoKSLPOWNTnD3L8VnuJei1beEB7ydTykst+mih0gpPdt+m3t3Tz3IM3ewTE1XoQrrM93DY+BcUiC4R5eewZ6KQPjZ2E0eDNwcuN3BMcgMLmcjBtDyswIysEL5J+GaKTxA+iRTlNzm693H2W8CJAQ+1j5+k+OgPz7gXNKkQDyDj/l3+FyMjMr94nD2Mz0rDQBCHd5ympVDZ+Ida0bgRqpe9Ge8ppbTRaGzNriYt1EvvPWw960XopeLBR+g9G/BQ8CF8FB8hbhUc+H7zG/iY1mc17RXsOHClCyhZgPIIC/aeLJOPBO9Fjd0ZpNhjHSHExum5Lfe9hqx4KMvGG0Q11jfcREaIRLSMcMfblpZ5VTIKQ6DoY4ZYnlxD5wrC7ia7NFwYSsFu0AywZ2qzCweHHtsCKm2PSkZ9+kCR0Yx+UbQpgEekT6bkiWTkm1g2gec6WLCCt1zEnIerSnEb6mp/pGGuT+J1tgZDXZ5rIoejJAd4TV8WC9J2Qn0WJ9p10lBPTLGdvE7aqVJczR4552avU43V7Pf6G/XfG+MfOzVLpQAAeJxjE2EQZ2Bg3QYkS4GkKAMKYMllEGHIYWD4/wbEQ5D/TP+JQHT9mfL/5b/J/xL+nf63gkGIgUzAASYZlRmNGaMYxRm5GBkYvjFcZ3RhtGXUB4oKMzIw2jC6AdkyDGeBauoZXFgFAfK0HD4AAAAALAAsACwALAByAKwA4gD4AUgBkgG4AfwCIHicTVNNaFxVFD7nnnvf3/z1vbwkRSjJs02bMtBk5qUdnwTmlWZRpjKJSkuHuhApWDduakRcCEUEQdwoahcaQTcVoZCgYxcVxHHTSikuBAUVoTQLSYu0C3WaOfXcITFyufc9Dpfzfef7vgsKFgDUWXMSCFw4tIowM7/m6jN36quO+WV+jZT8wirZsrHlNdd5ZnN+DW09DZNwKgmTBTXJ+/AinzMn+58v6BsgLWWDuWmuStcKHMsT9EBVHFMsEoBL2tXhropqd7xKRRcNgY6gmTbTKJtJq2GEWRamsiL5pFkWZVltNiFZmPh44BAeKCPpieM81eI2/qoqeGvQbY41A//wGYz4rrnaX1Cn/lziRvoHXxIuK8Jl2XTBgxCm87isfdAQjZjSYseQLrc7Fr4Ku5s72LVZ3AUHMUwmAef2VzFM60fMMr/I7/I0/oPP4mv8/MefnD/9xSXV53f4JdPli7xy7dvNGz/Y0dFiahDMAjyeTzhBgBo81MWS4y92HAeVMosdRRi0O7gDDtnuGcthfIuDJRAmo4k9NWyu0HOC/iWfwJ8Er7fOPd7YwlJVwSIIu2A0EkjLpp2lNmtNWsG3Tbff2ubl7pG7MbTzOIbACwpUNsYpl5zS6Fik/CsPv8ljv6CeULk9feUUXCqDYx0aWpRVq9ab/0yyZIVrgnujUUsUU7SE54409iI9wj96MX+qSljzsKrK/D4Vff5Z7+H77w3eMN0H93S531IX6q/efXAbtry6MNQtghP5lARE1Ap8Py6iiDYSexKg4pMduUoULXWIAjXMzo56kFlyQ26ybIYi0WGo5GQYu5ggpfXDc1VU0/wy/qae/gs/46N8/Wzr5vdtFQ82RNslfmvwuorx4FcfiGapeClcJcv78gjQQSLPlxSTJIesfYIO6ZZv266FCT3Ky/yhfoo/0ufxGH891F/LfL3hfMfz0A9cxzGFQCNAiXTRu/Lw93xsKP6kPT1TUFr7DuH2Axm36mNat6PtpMS3DyPBkQRNjxt8i9f5KN7mx7CLHmOPa3iNG2pDXed5/G4wbnW+DEB/DzPjwkRe0mQUKc/X5EqpWZ9J//cURmSYhuzL1NrsvqBeGbxp43ROr/8LRw/rBAAAAHicpZRBTxNBFMf/S1vAiETUgwdjJpoQQ2DbEg+GiwFsjAkBA8aTl2F32A60u83sNFhufgmuXrxgYuKHMPHs2Y/gUb3739mpLVqM0W5m9rezb/7v7XtvCuB2kCJA+buPQ88BruOj5ynM4IvnCu4FLc9VXA9OPdcwF3zwPI2F4LvnGexOvfM8ixuVJc+Xcasy8DyHsPLN8xWE1Vee57FUm/Z8FZdqQ78L5IiRBNVLfGq7qAoOsIjXnqe4+7PnCp7iq+cqFvm9JddwM3jreRp3gk+eZ/BmasbzLO5VhvqX8aDy0PMcXlROPV/Bi+pdz/N4Vn3v+Squ1ZqeF8g7eASNhMNynEAhhuCQfJakCBl6GMA4qzZXBc44VtFAk9cy+TFtMr7tcLfAJtlwTzFLp5ohRQg80om2+kTFIpZWiijrDYxO2lacidVGs7ksHmdZ0lFiMzO9zEirs5S7diilKCCwR7kUOamFlxQu5Pcp3mG42OmpVOzJNBetl9bI/azDxV3uTNCnhaQ1dlXS70jCOlUipxpzNlRc4fg7TwIbVNSem0xDg4J5pNJYGbEiJgQiNvqac7PR+L/Pee6CzX1GC+ehCwDPlcmZLdEMm2Muhg4ukC/Ux8QnBabdXLRBub/IVtfl8ohrGQ5+K750ORXOasD7vls1rg6FmnWfUDaZdt4it1I0W/l8yOwaZxtzjn42UF600CgtOhdSMPhYdaU5EtnBsHtkGouuHIh9JYxKdG6VYcfpVETKWMn7Yd/oPNZR0V95OKkZJnfwqMhjDQp3JCyN11DndeyukNvOi0ZeMnTUpSXa1vbW6vXj4+NQeuWIwmGUdev/LmuZ9p5LsHKdktC27JrQaXZZqD+6toOeilWuk5RNFbZtl/ZbrhLKVaGsXX8sXZbCRZXX6VjSrnw6v6f4m/i1fVcZEtt1SzOCnDXqu+TathLrPRnx5t8si2F/r4aNizMzch66rCR82zkXRM6VLTxhfVvYZpu3eOx9EOMZcc7DzCT1ThlAXt96stna3mutuAB+PymjvsSk0zY6ZT8A4l1bxwAAeJxjYGIAg3+zGNIYsAFeIGZkYGJgZlBhUGfQYNBhMGAwZTBnsGZk4vBLzE31TdUzAACipQYmAAB4nGNgZGBg4AFiMSBmYmAEQh4gZgHzGAAEIgA7AAAAAQAAAADUbjRwAAAAAMlM6pMAAAAA13ujIA==) format("woff")}.ff2{font-family:ff2;line-height:.716797;font-style:normal;font-weight:400;visibility:visible}.m0{transform:matrix(.320260,0,0,.320260,0,0);-ms-transform:matrix(.320260,0,0,.320260,0,0);-webkit-transform:matrix(.320260,0,0,.320260,0,0)}.ls1{letter-spacing:0}.ls0{letter-spacing:8px}.sc0{text-shadow:-.015em 0 transparent,0 .015em transparent,.015em 0 transparent,0 -.015em transparent}@media screen and (-webkit-min-device-pixel-ratio:0){.sc0{-webkit-text-stroke:.015em transparent;text-shadow:none}}.ws0{word-spacing:0}._0{margin-left:-10.054685px}._1{margin-left:-5.957040px}._2{margin-left:-1.406246px}.fc0{color:#000}.fs0{font-size:80px}.fs1{font-size:144px}.fs2{font-size:200px}.y0{bottom:0}.y4{bottom:431.019245px}.y3{bottom:490.318659px}.y2{bottom:564.247568px}.y1{bottom:656.790010px}.h1{height:58.007812px}.h2{height:104.414062px}.h3{height:143.359375px}.h0{height:1014.58492px}.w0{width:783.997438px}.x0{left:0}.x3{left:118.521453px}.x4{left:226.900388px}.x2{left:255.427903px}.x1{left:364.879069px}

[MATH 1070] - Midterm Exam Guide - Everything you need to know! (15 pages long)

United States

Elementary Statistics

Mathematics

Rahman Husneara

Georgia State University

Principles of Macroeconomics

Human Anatomy and Physiology I

Biology 2244A/B Lecture Notes - Box Plot, Upper Class, Cumulative Frequency Analysis

MATH 1P98 Lecture Notes - Lecture 2: Upper Class, Frequency Distribution

MATH 1530 Lecture Notes - Lecture 2: Line Segment, Becquerel, Simple Random Sample

[MATH 1070] - Midterm Exam Guide - Everything you need to know! (15 pages long)

Get access

Related textbook solutions

Calculus

Single Variable Calculus: Early Transcendentals

CALCULUS:EARLY TRANSCENDENTALS

Related Documents

Biology 2244A/B Lecture Notes - Box Plot, Upper Class, Cumulative Frequency Analysis

MATH 1P98 Lecture Notes - Lecture 2: Upper Class, Frequency Distribution

MATH 1530 Lecture Notes - Lecture 2: Line Segment, Becquerel, Simple Random Sample