title: “TITANIC” author: “Krushali Shah” date: “January 5, 2018” output: html_document This is a R markdown document of the passengers in the Titanic.
setwd("C:/Users/Dell/Downloads/Sameer Mathur")
titanic.df<-read.csv("Titanic Data.csv")
View(titanic.df)
The total number of passengers on board the Titanic.
dim(titanic.df)
## [1] 889 8
The number of passengers and the percentage of passengers who survived the sinking of the Titanic.
mytable<-with(titanic.df,table(Survived))
mytable
## Survived
## 0 1
## 549 340
prop.table(mytable)*100
## Survived
## 0 1
## 61.75478 38.24522
The number of first-class passengers and the percentage of first-class passengers who survived the sinking of the Titanic.
mytable<- xtabs(~Pclass + Survived, data = titanic.df)
mytable
## Survived
## Pclass 0 1
## 1 80 134
## 2 97 87
## 3 372 119
prop.table(mytable,1)*100
## Survived
## Pclass 0 1
## 1 37.38318 62.61682
## 2 52.71739 47.28261
## 3 75.76375 24.23625
The number of females from First-Class who survived the sinking of the Titanic
mytable<- xtabs(~Sex + Pclass + Survived, data = titanic.df)
ftable(mytable)
## Survived 0 1
## Sex Pclass
## female 1 3 89
## 2 6 70
## 3 72 72
## male 1 77 45
## 2 91 17
## 3 300 47
The percentage of survivors who were female.
mytable<- xtabs(~Survived + Sex, data = titanic.df)
prop.table(mytable,1)*100
## Sex
## Survived female male
## 0 14.75410 85.24590
## 1 67.94118 32.05882
The percentage of females on board the Titanic who survived.
mytable<- xtabs(~Sex + Survived, data = titanic.df)
prop.table(mytable,1)*100
## Survived
## Sex 0 1
## female 25.96154 74.03846
## male 81.10919 18.89081
Pearson’s Chi-squared test to test the following hypothesis:
Hypothesis: The proportion of females onboard who survived the sinking of the Titanic was higher than the proportion of males onboard who survived the sinking of the Titanic.
chisq.test(mytable)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: mytable
## X-squared = 258.43, df = 1, p-value < 2.2e-16