Reputation: 328
Question:
Suppose the numbers in the following random number table correspond to people arriving for work at a large factory. Let 0,1,and 2 be smokers and 3-9 be nonsmokers. After many arrivals, calculate the total relative frequency of smokers .
here is my R code to simulate the total relative frequency of smokers.
simulation<-function(k){
x<-round(runif(k)*10)
return (length(x[x<3])/k)}
> simulation(100)
[1] 0.27
> simulation(1000)
[1] 0.244
> simulation(10000)
[1] 0.2445
> simulation(100000)
[1] 0.24923
Why i can't get the result 0.3?
Upvotes: 0
Views: 143
Reputation: 62003
If all you want to do is get a discrete uniform distribution on the numbers 0, 1, ..., 9 then just use sample
sample(0:9, k, replace = TRUE)
With the code you have right now you'll actually get a probability of .05 each of getting 0 or 10 and a probability of .10 each of getting 1-9.
Upvotes: 8