srs.muhaty=function(data,x,y,n,N,mux){
  data=as.name(data); x=x; y=y; n=n; N=N; mux=mux
  plot(x,y,main=data)
  r=sum(y)/sum(x); muhat.y=r*mux
  fpc=(1-n/N); s2r=sum((y-r*x)^2)/(n-1)
  vhat.r=fpc*(1/mux^2)*(s2r/n)
  vhat.muhat.y=mux^2*vhat.r
  bound=2*sqrt(vhat.muhat.y)
  lower=muhat.y-bound; upper=muhat.y+bound
  cat("","\n","Results from SRS: Data =",data,"\n",'Estimation method = Ratio for mean y','\n',"N =",N,"n =",n,"\n","FPC =",fpc,"\n","Ratio r =",r
      ,"\n","Mu y =",muhat.y,"\n","Vhat mu.y =",vhat.muhat.y,"\n","Bound =",bound,"\n","Lower Bound =",lower,"Upper Bound =",upper,"\n","")
  results=list(r=r,data=data,n=n,N=N,fpc=fpc,vhat.r=vhat.r,bound=bound,lower=lower,upper=upper,s2r=s2r)
}
# to use the function with its call:
# srs.muhaty(data,x,y,n,N,mux)

# data: name of dataset, in quotes
# x: vector (data)
# y: vector (data)
# n: sample size
# N: population size
# mux: value of mean of X or if unknown, use xbar