Binomial simulation
I'm thinking I will just use: results <- rbinom(1000, 10, .25) d = sum(results == 0 ) df = (d/1000) df And do each individually
beetle2 wrote:
Hi Guy's I was wondering if someone could point me in the right direction. dbinom(10,1,0.25) I am using dbinom(10,1,0.25) to calculate the probabilty of 10 judges choosing a certain brand x times. I was wondering how I would go about simulating 1000 trials of each x value ? regards Brendan
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