.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:1.432;font-style:normal;font-weight:400;visibility:visible}.ff2{font-family:ff2;line-height:.966797;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:.910156;font-style:normal;font-weight:400;visibility:visible}.ff4{font-family:ff4;line-height:1.432;font-style:normal;font-weight:400;visibility:visible}.ff5{font-family:ff5;line-height:.941406;font-style:normal;font-weight:400;visibility:visible}.ff6{font-family:ff6;line-height:.682617;font-style:normal;font-weight:400;visibility:visible}.ff7{font-family:ff7;line-height:.758789;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)}.v1{vertical-align:15.84px}.ls3{letter-spacing:0}.ls2{letter-spacing:.096000px}.ls4{letter-spacing:.1796px}.ls0{letter-spacing:.192px}.ls1{letter-spacing:36.576px}.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:-48px}.ws1{word-spacing:-9.120080px}.ws2{word-spacing:-.048000px}.ws3{word-spacing:0}._1{margin-left:-1.044640px}._2{width:1.2px}._3{width:29.856px}._0{width:36.576px}.fc0{color:#000}.fs1{font-size:32.16px}.fs0{font-size:48px}.y1{bottom:0}.y1f{bottom:129.462061px}.y1e{bottom:156.056483px}.y1d{bottom:182.497181px}.y1c{bottom:210.013954px}.y1b{bottom:236.608377px}.y0{bottom:261.332479px}.y1a{bottom:264.163581px}.y19{bottom:290.758004px}.y18{bottom:317.198702px}.y17{bottom:344.715475px}.y16{bottom:371.309898px}.y15{bottom:397.750596px}.y14{bottom:424.345018px}.y13{bottom:450.785716px}.y12{bottom:478.456214px}.y11{bottom:504.922533px}.y10{bottom:531.516956px}.yf{bottom:557.957654px}.ye{bottom:585.474427px}.yd{bottom:612.068849px}.yc{bottom:638.509547px}.yb{bottom:666.026320px}.ya{bottom:692.620743px}.y9{bottom:719.099872px}.y8{bottom:746.770370px}.y7{bottom:773.211068px}.y6{bottom:799.805491px}.y5{bottom:826.246189px}.y4{bottom:853.762962px}.y3{bottom:881.433459px}.y2{bottom:907.899778px}.h2{height:54px}.h3{height:55.104000px}.h1{height:645.004428px}.h0{height:1014.58492px}.w1{width:395.201323px}.w2{width:783.997426px}.w0{width:783.997438px}.x1{left:.000012px}.x3{left:138.378098px}.x4{left:184.495595px}.x5{left:207.554343px}.x0{left:210.090817px}.x6{left:230.613091px}.x7{left:276.769018px}.x8{left:299.827767px}.x9{left:322.886515px}.x2{left:392.062759px}

STAB22H3 Lecture Notes - Lecture 14: Dependent And Independent Variables, Sample Size Determination

Canada

Statistics I

Statistics

Caren Hasler

University of Toronto Scarborough

Introduction to Microeconomics: A Mathematical Approach

STAB22H3 Lecture Notes - Lecture 12: Scatter Plot, Microsoft Powerpoint, Dependent And Independent Variables

STAB22H3 Lecture Notes - Lecture 10: Dependent And Independent Variables, Scatter Plot

STAB22H3 Lecture Notes - Lecture 13: Linear Regression, Dependent And Independent Variables, Scatter Plot

STAB22H3 Lecture Notes - Lecture 14: Dependent And Independent Variables, Sample Size Determination

STAB22H3 Lecture Notes - Lecture 13: Linear Regression, Dependent And Independent Variables, Scatter Plot

STAB22H3 Lecture Notes - Lecture 14: Dependent And Independent Variables, Sample Size Determination

STAB22H3 Lecture 15: STAB22 – Lecture fifteen - Sampling

Get access

Related Documents

STAB22H3 Lecture Notes - Lecture 12: Scatter Plot, Microsoft Powerpoint, Dependent And Independent Variables

STAB22H3 Lecture Notes - Lecture 10: Dependent And Independent Variables, Scatter Plot

STAB22H3 Lecture Notes - Lecture 13: Linear Regression, Dependent And Independent Variables, Scatter Plot