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summary(cars)
## speed dist
## Min. : 4.0 Min. : 2.00
## 1st Qu.:12.0 1st Qu.: 26.00
## Median :15.0 Median : 36.00
## Mean :15.4 Mean : 42.98
## 3rd Qu.:19.0 3rd Qu.: 56.00
## Max. :25.0 Max. :120.00
You can also embed plots, for example:
#Read the data and store it in a dataframe "titanic.df"
titanic.df<-read.csv(paste("Titanic Data.csv",sep=""))
View(titanic.df)
#TASK 4b Use R to create a table showing
#the average age of the survivors and the average age of the people who died.
aggregate(titanic.df$Age, by =list(survived = titanic.df$Survived),mean)
## survived x
## 1 0 30.41530
## 2 1 28.42382
#TASK 4c Use R to run a t-test to test the following hypothesis: H2: The Titanic survivors were younger than the passengers who died.
t.test(Age~Survived,titanic.df)
##
## Welch Two Sample t-test
##
## data: Age by Survived
## t = 2.1816, df = 667.56, p-value = 0.02949
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.1990628 3.7838912
## sample estimates:
## mean in group 0 mean in group 1
## 30.41530 28.42382
#p-value of the test is 0.02949, p<0.05, we rejest the Null Hypothes , so The titanic survivors are younger than the passengers who died.
Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.