STA-201 - Lab Spring - SurveyData_Spring2021.xls - Statistics Assignment Help

Assignment Task

Column Description
ID ID number
Gender The gender of the student: M=1 or F=2
College CAS=1 SBA=2 CAAD=3 CEN=4
Academic Academic Status: Freshman=1 Sophomore=2 Junior=3 Senior=4
Origin Region of Origin: GCC=1 Africa=2 Middle East=3 Other=4
Living Place of Living: On Campus=1 Off Campus=2
GPA Student’s GPA
Height The height of the student, in centimeters
Weight The weight of the student, in kilograms
Allowance Monthly Allowance: Student’s monthly allowance in AED
Studying_Time Hours studied per week

(a) Cleaning Stage: Take a close look at the data set using descriptive statistics such as graphs or by sorting each column, etc. Remove observations (the whole row) that have unusual answers (such as answering 5 on the Region of Origin variable or extreme values of Monthly Allowance or Height or Weights or Hours Studied per Week, etc…). Describe any steps you have done to clean the data set.

(b) Import the SurveyDat.xls into Rstudio and then use the following codes: 
data<-SurveyData_Spring2021
data$Gender<-as.factor(data$Gender)
data$College<-as.factor(data$College)
data$Academic<-as.factor(data$Academic)
data$Origin<-as.factor(data$Origin)
data$Living<-as.factor(data$Living)

(c) Generate a random sample of 100 observations from the data set using the following R codes:
set.seed(use your student ID number without letters)
s<-sample(1:dim(data)[1], size=100)
sample_data<- data[s,]

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