As estatísticas foram feitas por meio da ferramenta R-Studio, utilizando o formato R Markdown e exportadas no formato HTML. Contém a estatística descritiva, os testes de hipótese e uma série de gráficos gerados.
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## Shapiro-Wilk normality test
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## data: experimentData$idade
## W = 0.881, p-value = 6.695e-05
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## Shapiro-Wilk normality test
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## data: experimentData$preteste
## W = 0.9605, p-value = 0.07246
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## Shapiro-Wilk normality test
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## data: experimentData.infograficos$posteste
## W = 0.9177999999999999, p-value = 0.1183
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## Shapiro-Wilk normality test
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## data: experimentData.graficos$posteste
## W = 0.9186, p-value = 0.1398
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## Shapiro-Wilk normality test
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## data: experimentData.textos$posteste
## W = 0.7737000000000001, p-value = 0.0004853
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## Shapiro-Wilk normality test
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## data: experimentData$posteste
## W = 0.8861, p-value = 9.742e-05
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## Shapiro-Wilk normality test
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## data: experimentData$testeretencao
## W = 0.952, p-value = 0.03046
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## Shapiro-Wilk normality test
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## data: experimentData$aprendizado
## W = 0.9534, p-value = 0.03515
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## Shapiro-Wilk normality test
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## data: experimentData$retencao
## W = 0.9668, p-value = 0.1385
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## Shapiro-Wilk normality test
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## data: experimentData$mediaprazer
## W = 0.9587, p-value = 0.06034
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## Shapiro-Wilk normality test
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## data: experimentData$tmedio
## W = 0.9765, p-value = 0.3653
## idade sexo visver sistema
## Min. :15.0000000000 F: 4 Min. :1.00000000000 graficos :17
## 1st Qu.:18.0000000000 M:50 1st Qu.:1.00000000000 infograficos:18
## Median :18.0000000000 Median :1.00000000000 textos :19
## Mean :18.2037037037 Mean :1.24074074074
## 3rd Qu.:19.0000000000 3rd Qu.:1.00000000000
## Max. :22.0000000000 Max. :2.00000000000
## preteste posteste testeretencao
## Min. :14.0000000000 Min. :16.0000000000 Min. :20.00
## 1st Qu.:17.0000000000 1st Qu.:34.0000000000 1st Qu.:30.25
## Median :19.0000000000 Median :38.0000000000 Median :35.00
## Mean :19.4444444444 Mean :36.8518518519 Mean :34.00
## 3rd Qu.:21.0000000000 3rd Qu.:40.0000000000 3rd Qu.:38.00
## Max. :26.0000000000 Max. :44.0000000000 Max. :43.00
## aprendizado retencao mediaprazer
## Min. :-3.0000000000 Min. :-10.00000000000 Min. :1.00000000000
## 1st Qu.:15.0000000000 1st Qu.: -4.00000000000 1st Qu.:4.50000000002
## Median :18.0000000000 Median : -3.00000000000 Median :5.57142857140
## Mean :17.4074074074 Mean : -2.85185185185 Mean :5.34656084656
## 3rd Qu.:21.0000000000 3rd Qu.: -1.25000000000 3rd Qu.:6.71428571430
## Max. :28.0000000000 Max. : 4.00000000000 Max. :9.00000000000
## tmedio
## Min. : 13.106266670
## 1st Qu.: 74.341283330
## Median :112.330600000
## Mean :108.789748149
## 3rd Qu.:142.952566675
## Max. :240.788200000
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$sistema 2 87.1926957918 43.59634789588 1.42724 0.24939
## Residuals 51 1557.8443412453 30.54596747540
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$visver 1 1.3897574873 1.389757487318 0.04397 0.83473
## Residuals 52 1643.6472795497 31.608601529802
## Df Sum Sq Mean Sq F value
## experimentData$tmedio 1 561.4139076758 561.4139076758 26.94066
## Residuals 52 1083.6231293613 20.8389063339
## Pr(>F)
## experimentData$tmedio 3.5253e-06 ***
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value
## experimentData$mediaprazer 1 126.2096281024 126.20962810236 4.32103
## Residuals 52 1518.8274089347 29.20821940259
## Pr(>F)
## experimentData$mediaprazer 0.042595 *
## Residuals
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$sistema 2 2.2769751175 1.138487558766 0.17566 0.83941
## Residuals 51 330.5378396973 6.481134111711
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$visver 1 0.3757904246 0.375790424571 0.05878 0.80939
## Residuals 52 332.4390243902 6.393058161351
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$tmedio 1 5.7754332788 5.775433278838 0.91831 0.34235
## Residuals 52 327.0393815360 6.289218875692
## Df Sum Sq Mean Sq F value
## experimentData$mediaprazer 1 15.1902602657 15.190260265662 2.48688
## Residuals 52 317.6245545492 6.108164510561
## Pr(>F)
## experimentData$mediaprazer 0.12086
## Residuals
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$sistema 2 6.54064549793 3.270322748963 1.00342 0.37375
## Residuals 51 166.21861376087 3.259188505115
## Df Sum Sq Mean Sq F value Pr(>F)
## experimentData$visver 1 0.01330834606 0.013308346058 0.00401 0.94978
## Residuals 52 172.74595091274 3.322037517553