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4-Comparacao-Duas-Pop.R
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4-Comparacao-Duas-Pop.R
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####################################################
# TAILINE NONATO #
# ATIVIDADE 4.2 #
####################################################
# Carregando pacotes ----
if (!require(pacman)) {
install.packIdades("pacman")
library(pacman)}
pacman::p_load(tidyverse)
theme.t <- function(position_legend = "top"){
return(list(
theme_bw(),
theme(axis.title.y=element_text(colour="black", size=12),
axis.title.x = element_text(colour="black", size=12),
axis.text = element_text(colour = "black", size=9.5),
panel.border = element_blank(),
axis.line = element_line(colour = "black")),
theme(legend.position=position_legend)))}
# Dados ----
a.100 <- read.csv("Outros arquivos/tam100.csv", encoding = "UTF-8",
na.strings=c(" ","NA"))
a.30 <- read.csv("Outros arquivos/tam30.csv", encoding = "UTF-8",
na.strings=c(" ","NA"))
a.100$LOCALIZACAO <- a.100$LOCALIZACAO %>%
str_replace("1", "Urbana")%>%
str_replace("2", "Rural")
a.100$DEPENDENCIA_ADM <- a.100$DEPENDENCIA_ADM %>%
str_replace("1", "Estadual + Federal")%>%
str_replace("2", "Estadual + Federal")%>%
str_replace("3", "Municipal")%>%
str_replace("4", "Privada")
a.30$LOCALIZACAO <- a.30$LOCALIZACAO %>%
str_replace("1", "Urbana")%>%
str_replace("2", "Rural")
a.30$DEPENDENCIA_ADM <- a.30$DEPENDENCIA_ADM %>%
str_replace("1", "Estadual + Federal")%>%
str_replace("2", "Estadual + Federal")%>%
str_replace("3", "Municipal")%>%
str_replace("4", "Privada")
##################################################################
################## AMOSTRAS DE TAMANHO 100 ########################
# NOTA_MT e LOCALIZAÇÃO
# Gráficos
a.100 %>%
ggplot(aes(x=LOCALIZACAO, y=NOTA_MT)) +
geom_boxplot(fill=c("#7AA3CC"), width = 0.5) +
stat_summary(fun="mean", geom="point", shape=23, size=3, fill="white")+
labs(x="Localização", y="Nota em Matemática")+
theme.t()+
ggsave("Outros arquivos/imagens/loc_nmt100.png", width = 158, height = 93, units = "mm")
# Resumo
urb.100 <- a.100[a.100$LOCALIZACAO == "Urbana",]
rural.100 <- a.100[a.100$LOCALIZACAO == "Rural",]
summary(urb.100$NOTA_MT)
sd(urb.100$NOTA_MT)
summary(rural.100$NOTA_MT)
sd(rural.100$NOTA_MT)
# Testes Associação
#T de Student
t.test(urb.100$NOTA_MT, rural.100$NOTA_MT)
qt(.95,5000-2)
#Wilcoxon
wilcox.test(urb.100$NOTA_MT, rural.100$NOTA_MT)
#Kolmogorov/Smirnov
ks.test(urb.100$NOTA_MT, rural.100$NOTA_MT)
# NOTA_LP e DEPENDENCIA_ADM
# Gráficos
a.100 %>%
#filter(DEPENDENCIA_ADM != "Privada") %>%
ggplot(aes(x=DEPENDENCIA_ADM, y=NOTA_LP)) +
geom_boxplot(fill=c("#7AA3CC"), width = 0.5) +
stat_summary(fun="mean", geom="point", shape=23, size=3, fill="white")+
labs(x="Dependência Administrativa", y="Nota em Língua Portuguesa")+
theme.t()+
ggsave("Outros arquivos/imagens/dep_nlp100.png", width = 158, height = 93, units = "mm")
# Resumo
est.100 <- a.100[a.100$DEPENDENCIA_ADM == "Estadual + Federal",]
mun.100 <- a.100[a.100$DEPENDENCIA_ADM == "Municipal",]
summary(est.100$NOTA_LP)
sd(est.100$NOTA_LP)
summary(mun.100$NOTA_LP)
sd(mun.100$NOTA_LP)
# Testes Associação
#T de Student
t.test(est.100$NOTA_LP, mun.100$NOTA_LP)
#Wilcoxon
wilcox.test(est.100$NOTA_LP, mun.100$NOTA_LP)
#Kolmogorov/Smirnov
ks.test(est.100$NOTA_LP, mun.100$NOTA_LP)
##################################################################
################## AMOSTRAS DE TAMANHO 30 ########################
# NOTA_MT e LOCALIZAÇÃO
# Gráficos
a.30 %>%
ggplot(aes(x=LOCALIZACAO, y=NOTA_MT)) +
geom_boxplot(fill=c("#7AA3CC"), width = 0.5) +
stat_summary(fun="mean", geom="point", shape=23, size=3, fill="white")+
labs(x="Localização", y="Nota em Matemática")+
theme.t()+
ggsave("Outros arquivos/imagens/loc_nmt30.png", width = 158, height = 93, units = "mm")
# Resumo
urb.30 <- a.30[a.30$LOCALIZACAO == "Urbana",]
rural.30 <- a.30[a.30$LOCALIZACAO == "Rural",]
summary(urb.30$NOTA_MT)
sd(urb.30$NOTA_MT)
summary(rural.30$NOTA_MT)
sd(rural.30$NOTA_MT)
# Testes Associação
#T de Student
t.test(urb.30$NOTA_MT, rural.30$NOTA_MT)
#Wilcoxon
wilcox.test(urb.30$NOTA_MT, rural.30$NOTA_MT)
#Kolmogorov/Smirnov
ks.test(urb.30$NOTA_MT, rural.30$NOTA_MT)
# NOTA_LP e DEPENDENCIA_ADM
# Gráficos
a.30 %>%
#filter(DEPENDENCIA_ADM != "Privada") %>%
ggplot(aes(x=DEPENDENCIA_ADM, y=NOTA_LP)) +
geom_boxplot(fill=c("#7AA3CC"), width = 0.5) +
stat_summary(fun="mean", geom="point", shape=23, size=3, fill="white")+
labs(x="Dependência Administrativa", y="Nota em Língua Portuguesa")+
theme.t()+
ggsave("Outros arquivos/imagens/dep_nlp30.png", width = 158, height = 93, units = "mm")
# Resumo
est.30 <- a.30[a.30$DEPENDENCIA_ADM == "Estadual + Federal",]
mun.30 <- a.30[a.30$DEPENDENCIA_ADM == "Municipal",]
summary(est.30$NOTA_LP)
sd(est.30$NOTA_LP)
summary(mun.30$NOTA_LP)
sd(mun.30$NOTA_LP)
# Testes Associação
#T de Student
t.test(est.30$NOTA_LP, mun.30$NOTA_LP)
#Wilcoxon
wilcox.test(est.30$NOTA_LP, mun.30$NOTA_LP)
#Kolmogorov/Smirnov
ks.test(est.30$NOTA_LP, mun.30$NOTA_LP)