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1. ### Can I increase the sample size by generating random numbers to apply the Chi-Square Goodness of Fit Test?

Thank you very much obh! Thank you! I'm applying on queuing theory. I'm checking to see if I can apply the Markovian model.
2. ### Can I increase the sample size by generating random numbers to apply the Chi-Square Goodness of Fit Test?

Hi obh! 8 means 8 buses arrived in the first 15 minutes.
3. ### Can I increase the sample size by generating random numbers to apply the Chi-Square Goodness of Fit Test?

My code in R to the generation of random numbers: A<-c(8, 13, 13, 14, 15, 11, 16, 11) n<-15 B<-c() for (j in 1:length(A)) { arrival<-vector("numeric", length = 15) sum<-A[j] for (i in 1:sum) { home<-abs(floor((runif(1,1,(n+0.99999))))) arrival[home]<-arrival[home]+1 }...
4. ### Can I increase the sample size by generating random numbers to apply the Chi-Square Goodness of Fit Test?

Hey @hIsmith I'm doing this because the chi-square test requires a sufficient sample size in order for the chi-square approximation to be valid. Am I right? 1 degree--> First element of the sample B 15 degree --> fifteenth element of the sample B 0+1+0+1+2+0+0+0+0+1+0+0+0+1=8 ---> (8 is the...
5. ### Can I increase the sample size by generating random numbers to apply the Chi-Square Goodness of Fit Test?

Does increasing the sample size by random number generation change the distribution? I have a sample of size 8. Each sample value represents the number of bus arrivals at a bus stop every 15 minutes. But I wanted to apply the chi-square test to verify the fitting with the Poisson distribution...