Datos
datos<-c(87,74,85,86,86,74,88,74,92.5,91,81,93.33,89,88,74,79,92.5,94.8,84,81.5,85,84.5,80,82.5,91.5,82,83.5,79.9,89,92,83,80,85,86.33,83,82,85,80)
datos
## [1] 87.00 74.00 85.00 86.00 86.00 74.00 88.00 74.00 92.50 91.00 81.00
## [12] 93.33 89.00 88.00 74.00 79.00 92.50 94.80 84.00 81.50 85.00 84.50
## [23] 80.00 82.50 91.50 82.00 83.50 79.90 89.00 92.00 83.00 80.00 85.00
## [34] 86.33 83.00 82.00 85.00 80.00
Frecuencia
table(datos)
## datos
## 74 79 79.9 80 81 81.5 82 82.5 83 83.5 84 84.5
## 4 1 1 3 1 1 2 1 2 1 1 1
## 85 86 86.33 87 88 89 91 91.5 92 92.5 93.33 94.8
## 4 2 1 1 2 2 1 1 1 2 1 1
Maximo
maximo<-max(datos)
maximo
## [1] 94.8
Minimo
minimo<-min(datos)
minimo
## [1] 74
Moda
datos<-table(datos)
datos[which(datos== max(datos))[1]]
## 74
## 4
Rango
rango<-maximo-minimo
rango
## [1] 20.8
Porcentaje (80%)
quantile(datos,.80)
## 80%
## 2
Porcentajes de 25,50,75
quantile(datos,c(.25,.50,.75))
## 25% 50% 75%
## 1 1 2
Grafica de frecuencia
plot(table(datos))

Grafica de dispercion
plot(datos)
