Analysis of the Titanic Dataset.
3a)Total number of passengers on board the Titanic:
length(titanic$Survived)
## [1] 889
3b)Total number of passengers who survived the sinking of the Titanic:
length(titanic$Survived[titanic$Survived==1])
## [1] 340
3c)Percentage of passengers who survived the sinking of the Titanic:
length(titanic$Survived[titanic$Survived==1])/length(titanic$Survived)*100
## [1] 38.24522
3d)Number of first-class passengers who survived the sinking of the Titanic:
tab1<-xtabs(~Survived+Pclass, data=titanic)
addmargins(tab1)
## Pclass
## Survived 1 2 3 Sum
## 0 80 97 372 549
## 1 134 87 119 340
## Sum 214 184 491 889
tab1[2]
## [1] 134
3e)Percentage of first-class passengers who survived the sinking of the Titanic:
prop.table(tab1)[2]*100
## [1] 15.07312
3f)Number of females from First-Class who survived the sinking of the Titanic:
tab2<-xtabs(~Survived+Pclass+Sex, data=titanic)
addmargins(tab2)
## , , Sex = female
##
## Pclass
## Survived 1 2 3 Sum
## 0 3 6 72 81
## 1 89 70 72 231
## Sum 92 76 144 312
##
## , , Sex = male
##
## Pclass
## Survived 1 2 3 Sum
## 0 77 91 300 468
## 1 45 17 47 109
## Sum 122 108 347 577
##
## , , Sex = Sum
##
## Pclass
## Survived 1 2 3 Sum
## 0 80 97 372 549
## 1 134 87 119 340
## Sum 214 184 491 889
tab2[2]
## [1] 89
3g)Percentage of survivors who were female:
tab3<-xtabs(~Survived+Sex, data=titanic)
addmargins(tab3)
## Sex
## Survived female male Sum
## 0 81 468 549
## 1 231 109 340
## Sum 312 577 889
prop.table(tab3)[2]*100
## [1] 25.98425
3h)Percentage of females on board the Titanic who survived
tab4<-xtabs(~Sex+Survived, data=titanic)
addmargins(tab4)
## Survived
## Sex 0 1 Sum
## female 81 231 312
## male 468 109 577
## Sum 549 340 889
prop.table(tab4)[3]*100
## [1] 25.98425
3i)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.
Pearson’s Chi-squared test to test the hypothesis:
chisq.test(tab3)
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: tab3
## X-squared = 258.43, df = 1, p-value < 2.2e-16
We observe that- since the p-value is <0.05, there is a relationship between Sex and Survival of people onboard the Titanic.Thus the null hypothesis is rejected.