Comparative Analysis of Tourism Operators' Optimistic Views

Added on 2019-09-22

5 Pages816 Words329 Views

## load the required libraries library(dplyr) library(magrittr) ##import the dataset into R workspace t13 <- read.csv("TourismOperators2013.csv") t17 <- read.csv("TourismOperators2017.csv") #get the data type str(t13) str(t17) #convert 'optimistic', 'ClimateChangeView' variables into categorical variables t13$Optimistic <- as.factor(t13$Optimistic) t13$ClimateChangeView <- as.factor(t13$ClimateChangeView) t17$Optimistic <- as.factor(t17$Optimistic) t17$ClimateChangeView <- as.factor(t17$ClimateChangeView) ##summary of the dataset summary(t13) summary(t17) ## part Two ## t13 %>% na.omit() %>%

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group_by(Optimistic) %>% summarise( proportion = n()/nrow(t13) ) -> t13.optimistic t13.optimistic t17 %>% na.omit() %>% group_by(Optimistic) %>% summarise( proportion = n()/nrow(t13) ) -> t17.optimistic t17.optimistic # Part (a) ##(i)#conducting the one sample prop.test res= prop.test(x=5, n=10, p=0.7, alternative = "less", correct = F)#printing the results res#getting p-value res$p.value #### (ii)

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