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# Progress test 2011 borelliunits.it - PowerPoint PPT Presentation

progress test 2011 [email protected] pie(table(annodicorso)). annodicorso 3 4 51 40 . table(annodicorso, genere). table(annodicorso, genere) genere annodicorso F M 3 25 26 4 17 19 plot(table(annodicorso, genere)). table(annodicorso, genere).

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• annodicorso

• 3 4

• 51 40

• table(annodicorso, genere)

• genere

• annodicorso F M

• 3 25 26

• 4 17 19

• plot(table(annodicorso, genere))

• table(annodicorso, genere)

• genere

• annodicorso F M

• 3 25 26

• 4 17 19

• fisher.test(table(annodicorso, genere))

• data: table(annodicorso, genere)

• p-value = 1

• alternative hypothesis: true odds ratio

• is not equal to 1

• 95 percent confidence interval:

• 0.4201946 2.7551684

• sample estimates:

• odds ratio

• 1.073765

• fligner.test(mediavoti ~ genere)

• Fligner-Killeen:

• med chi-squared = 3.7769, df = 1,

• p-value = 0.05197

• wilcox.test(mediavoti ~ genere)

• data: mediavoti by genere

• W = 885, p-value = 0.2971

• alternative hypothesis: true location shift is not equal to 0

• fligner.test(mediavoti ~ annodicorso)

• data: mediavoti by annodicorso

• Fligner-Killeen:med chi-squared = 0.0053, df = 1,

• p-value = 0.9418

• wilcox.test(mediavoti ~ annodicorso)

• data: mediavoti by annodicorso

• W = 615.5, p-value = 0.1713

• alternative hypothesis: true location shift is not equal to 0

• deltaesami

• 0 1 2 3 4

• 66 14 4 1 1

• deltaesami

• genere 0 1 2 3 4

• F 35 5 1 0 1

• M 31 9 3 1 0

• chisq.test(table(genere, deltaesami))

• X-squared = 4.3411, df = 4, p-value = 0.3618

• Warning message:

• In chisq.test(table(genere, deltaesami)) :

• L'approssimazione al Chi-quadrato potrebbe essere inesatta

• deltaesami

• genere 0 1 2 3 4

• F 35 5 1 0 1

• M 31 9 3 1 0

• fisher.test(table(genere, deltaesami))

• data: table(genere, deltaesami)

• p-value = 0.3107

• alternative hypothesis: two.sided

• table(annodicorso, deltaesami)

• deltaesami

• annodicorso 0 1 2 3 4

• 3 41 5 3 1 1

• 4 25 9 1 0 0

• fisher.test(table(annodicorso, deltaesami))

• data: table(annodicorso, deltaesami)

• p-value = 0.2161

• alternative hypothesis: two.sided

• 4 4.5 5.5 6 6.5 7 7.5 8 8.5 9

• 1 1 1 18 1 27 5 22 1 1

• fligner.test(indicegradim ~ annodicorso)

• data: indicegradim by annodicorso

• Fligner-Killeen:med chi-squared = 5.8816, df = 1,

• p-value = 0.0153

• wilcox.test(indicegradim ~ annodicorso)

• data: indicegradim by annodicorso

• W = 658.5, p-value = 0.5145

• fligner.test(indicegradim ~ genere)

• med chi-squared = 0.4171, df = 1,

• p-value = 0.5184

• wilcox.test(indicegradim ~ genere)

• W = 735.5, p-value = 0.8029

• Call:

• lm(formula = indicegradim ~ mediavoti)

• Coefficients:

• Estimate Std. Error t value Pr(>|t|)

• (Intercept) 3.70487 2.31754 1.599 0.114

• mediavoti 0.12211 0.08454 1.444 0.153

• Residual standard error: 0.928 on 70 degrees of freedom

• (19 observations deleted due to missingness)

• Multiple R-squared: 0.02894, Adjusted R-squared: 0.01507

• F-statistic: 2.086 on 1 and 70 DF, p-value: 0.1531

• 7818 12526 6956

• performancestudente

• <- sum(corrette[studente])

• plot(reg)

• plot(reg2)

• plot(reglog)

• biochimica chir comportam farmaco fisiologia medint microimmuno morfologia ostgineco patofisio patologia pediatria sanita

• biochimica chir comportam

• 0.3200000 0.1500000 0.3333333

• farmaco fisiologia medint

• 0.2000000 0.4400000 0.1750000

• microimmuno morfologia ostgineco

• 0.4800000 0.3500000 0.4000000

• patofisio patologia pediatria

• 0.2800000 0.2000000 0.2000000

• sanita

• 0.2000000

• biochimica chir comportam farmaco fisiologia medint microimmuno morfologia ostgineco patofisio patologia pediatria sanita

• biochimica chir comportam

• 0.2000000 0.2250000 0.2666667

• farmaco fisiologia medint

• 0.2000000 0.3200000 0.2250000

• microimmuno morfologia ostgineco

• 0.2400000 0.4000000 0.2500000

• patofisio patologia pediatria

• 0.2400000 0.1000000 0.2000000

• sanita

• 0.2000000

glm (correttesusomma ~ scienze + annodicorso + genere + mediavoti + deltaesami + indicegradim, family = poisson)

• Coefficients:

• Estimate Std. Error z value Pr(>|z|)

• (Intercept) 1.033868 0.152218 6.792 1.11e-11 ***

• scienzecliniche -0.467722 0.012833 -36.447 < 2e-16 ***

• annodicorso 0.297164 0.012229 24.301 < 2e-16 ***

• genereM 0.019252 0.012217 1.576 0.115

• mediavoti 0.036037 0.005562 6.480 9.19e-11 ***

• deltaesami -0.076604 0.013048 -5.871 4.33e-09 ***

• indicegradim 0.079345 0.007022 11.300 < 2e-16 ***