.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}.c{position:absolute;border:0;padding:0;margin:0;overflow:hidden;display:block}.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}}.ff1{font-family:ff1;line-height:.910156;font-style:normal;font-weight:400;visibility:visible}@font-face{font-family:ff2;src:url(data:application/font-woff;base64,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) format("woff")}.ff2{font-family:ff2;line-height:.666504;font-style:normal;font-weight:400;visibility:visible}@font-face{font-family:ff3;src:url(data:application/font-woff;base64,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) format("woff")}.ff3{font-family:ff3;line-height:.682617;font-style:normal;font-weight:400;visibility:visible}.ff4{font-family:ff4;line-height:.861328;font-style:normal;font-weight:400;visibility:visible}@font-face{font-family:ff5;src:url(data:application/font-woff;base64,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) format("woff")}.ff5{font-family:ff5;line-height:.779297;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)}.ls2{letter-spacing:0}.ls1{letter-spacing:45.642874px}.ls0{letter-spacing:53.922652px}.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:-12.011283px}.ws5{word-spacing:0}.ws4{word-spacing:9.264275px}.ws1{word-spacing:10.850136px}.ws2{word-spacing:12.479777px}.ws3{word-spacing:12.875471px}._0{margin-left:-1.055690px}.fc0{color:#000}.fs1{font-size:44.041370px}.fs0{font-size:48.045131px}.y17{bottom:-170.913082px}.y16{bottom:-142.575445px}.y15{bottom:-114.109583px}.y14{bottom:-85.771946px}.y13{bottom:-57.818982px}.y12{bottom:-28.968447px}.y11{bottom:-.117911px}.y0{bottom:0}.y10{bottom:28.732624px}.yf{bottom:56.685588px}.ye{bottom:84.895px}.yd{bottom:112.847964px}.yc{bottom:140.929152px}.yb{bottom:169.138564px}.ya{bottom:197.219752px}.y9{bottom:225.429165px}.y8{bottom:253.382128px}.y7{bottom:281.463316px}.y6{bottom:299.158312px}.y5{bottom:327.367724px}.y4{bottom:345.062719px}.y3{bottom:373.015683px}.y2{bottom:400.968646px}.y18{bottom:485.095526px}.y1{bottom:507.293741px}.h3{height:33.359461px}.h4{height:36.761094px}.h2{height:507.295022px}.h1{height:1011.382316px}.h0{height:1014.588763px}.w1{width:783.997438px}.w0{width:784px}.x0{left:0}.x3{left:92.082194px}.x4{left:115.162622px}.x5{left:138.243051px}.x6{left:161.323479px}.x2{left:272.109536px}.x1{left:343.017741px}.x7{left:467.145568px}

MATH201 Lecture Notes - Lecture 8: Carl Friedrich Gauss, Probability Distribution, Normal Distribution

United States

Introduction to Statistical Methods I

Mathematics

Mwerinde Patrick

University of Delaware

Business Law II

Business Law I

Cost Accounting

Accounting Information Systems

Intermediate Accounting I

Accounting II

Accounting I

Intermediate Accounting II

Strategic Information Systems and Accounting

Advanced Federal Income Taxation

Human Heredity and Development

Organizational Behavior

Introduction to Service and Operations Management

Basics of Business

Analytical Decision Making

Oral Communication in Business

Investments

Principles of Finance

Money, Markets and Mischief: U.S. Business and Political Economy Since 1865

Introduction to Jewish Philosophy

Systems Analysis and Implementation

Database Design and Implementation

Introduction to Programming Business Applications

Business Information Systems

Cultural Introduction to Sexualities and Gender Studies

Gay and Lesbian Film

Women and Violence

Introduction to Macroeconomics

Banking and Monetary Policy

Topics in Jewish History

Introduction to Jewish Sources: Text and Interpretation

Forensic Pathology

US History 1865 to Present

STAT 100 Lecture Notes - Lecture 10: Normal Distribution, Standard Deviation, Probability Plot

Biology 2244A/B Lecture Notes - Lecture 7: Central Limit Theorem, Bias Of An Estimator, Normal Distribution

MATH201 Lecture Notes - Lecture 8: Carl Friedrich Gauss, Probability Distribution, Normal Distribution

Get access

Related textbook solutions

Calculus

Single Variable Calculus: Early Transcendentals

CALCULUS:EARLY TRANSCENDENTALS

Related Documents

STAT 100 Lecture Notes - Lecture 10: Normal Distribution, Standard Deviation, Probability Plot

Biology 2244A/B Lecture Notes - Lecture 7: Central Limit Theorem, Bias Of An Estimator, Normal Distribution

STAT 100 Lecture Notes - Lecture 10: Percentile, Quartile, Standard Deviation