Using R, simulate tossing 4 coins as above, and compute the random variable X(the outcome of tossing a fair coin 4 times & X = num of heads - num of tails.). Estimate the probability mass function you computed by simulating 1000 times and averaging.
The outcome of tossing a fair coin 4 times will be 24 = 16 which are HHHH HHHT HHTH HTHH HHTT HTHT HTTT THHH TTHH THHT TTHT HTTH THTH TTTH THTT TTTT.
Let X be the difference between number of heads and number of tails
So, the value of X can be (4-0), (3-1), (2-2), (3-1), (4-0) = 0, 2 ,4
The probability mass function
P(X=x)=
where x is the outcome and n is the number of coin tossed.
R code
#taking 0 =Tail 1=Head
n=4 #no of coin
FlipCoin = function(n) sample(0:1,n,rep=T)
e1=FlipCoin(16)
e1 # sample space
flips<-rbinom(1000, 4, .5)
pbinom(flips,n,.5) #probability mass function
OP:
> e1 [1] 0 0 0 1 1 1 1 1 1 0 0 1 1 0 1 1
pbinom(flips,n,.5) [1] 0.6875 0.3125 0.9375 0.6875 0.6875 0.3125 0.3125 0.3125 0.9375....
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