.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}.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:.932129;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:.734375;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:.28px}.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:-11.080000px}.ws1{word-spacing:-.040000px}.ws2{word-spacing:0}._3{margin-left:-1.12px}._2{width:1.44px}._4{width:20.68px}._1{width:254.6px}._0{width:302.68px}.fc1{color:#548dd4}.fc2{color:red}.fc0{color:#000}.fs0{font-size:40px}.y2e{bottom:173.709236px}.y2d{bottom:188.441214px}.y2c{bottom:203.173192px}.y2b{bottom:217.905170px}.y2a{bottom:232.637148px}.y29{bottom:247.369126px}.y28{bottom:262.101104px}.y27{bottom:276.833082px}.y26{bottom:291.565060px}.y25{bottom:306.297038px}.y24{bottom:321.029016px}.y23{bottom:335.760994px}.y22{bottom:365.22495px}.y21{bottom:379.956928px}.y20{bottom:394.688906px}.y1f{bottom:409.420884px}.y1e{bottom:424.152862px}.y1d{bottom:438.88484px}.y1c{bottom:453.616818px}.y1b{bottom:468.348796px}.y1a{bottom:497.812752px}.y19{bottom:512.54473px}.y18{bottom:527.276708px}.y17{bottom:542.008686px}.y16{bottom:556.740664px}.y15{bottom:571.472642px}.y14{bottom:586.204620px}.y13{bottom:600.936598px}.y12{bottom:630.400554px}.y11{bottom:645.132532px}.y10{bottom:659.86451px}.yf{bottom:674.596488px}.ye{bottom:689.328466px}.yd{bottom:704.060444px}.yc{bottom:718.792422px}.yb{bottom:733.5244px}.ya{bottom:762.988356px}.y9{bottom:777.720334px}.y8{bottom:792.452312px}.y7{bottom:807.18429px}.y6{bottom:821.916268px}.y5{bottom:851.380224px}.y4{bottom:866.112202px}.y3{bottom:880.84418px}.y2{bottom:895.576158px}.y1{bottom:910.308136px}.y0{bottom:956.425633px}.h1{height:28.984375px}.h0{height:1014.58492px}.w0{width:783.997438px}.x0{left:115.421845px}.x2{left:132.715906px}.x1{left:161.539341px}.x3{left:178.833403px}.x4{left:346.009327px}

PSY 2405 Study Guide - Midterm Guide: Libido, Experimental Psychology, Scatter Plot

United States

Research Methods In Psy

Psychology

Dr.Latendresse

Baylor University

Psychopathology

PSYC 2030 Chapter Notes - Chapter 9: Confidence Interval, Correlation And Dependence, Twin Study

PSYC 203 Chapter Notes - Chapter 9: Scatter Plot, Factor Analysis, Twin

PSYCH 100 Lecture Notes - Lecture 3: Caffeine, Dependent And Independent Variables, Weight Watchers

PSY 2405 Study Guide - Midterm Guide: Libido, Experimental Psychology, Scatter Plot

Get access

Related Documents

PSYC 2030 Chapter Notes - Chapter 9: Confidence Interval, Correlation And Dependence, Twin Study

PSYC 203 Chapter Notes - Chapter 9: Scatter Plot, Factor Analysis, Twin

PSYCH 100 Lecture Notes - Lecture 3: Caffeine, Dependent And Independent Variables, Weight Watchers