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Must solve in R code Question 2 The random variable X is a payout table of...

Must solve in R code

Question 2

The random variable X is a payout table of a casino slot machine. The probability mass function is given:

X   -5   0   2   10   20   40   60   1000
Probability   0.65   0.159   0.10   0.05   0.02   0.01   0.01   0.001
Please simulate the results for playing the slot machine 10,000,000 times. Find the mean of these 10,000,000 simulated payout outcomes .

Solutions

Expert Solution

In R, we have first generated the samples from the distribution of X as below:

u~R(0,1)

if (u<..65)

x=-5

if( u>.65 && u<.65+.159)

x=0

if( u>.65+.159 && u<.65+.159+.10)

x=2

and so on.

Finally calculated the sample mean of generated x's and a frequency distribution of the generated x's.

We report the mean as -0.1577593.

R Program

nsim=10000000
x=numeric(nsim)
for(i in 1:nsim)
{
u=runif(1,0,1)
if(u<.65)
x[i]=-5
if(u>.65 && u<.809)
x[i]=0
if(u>.809 && u<.909)
x[i]=2
if(u>.909 && u<.959)
x[i]=10
if(u>.959 && u<.979)
x[i]=20
if(u>.979 && u<.989)
x[i]=40
if(u>.989 && u<.999)
x[i]=60
if(u>.999)
x[i]=1000
}
table(x)
cat("\n","Simulated Mean=",mean(x))

R Output

x
-5 0 2 10 20 40 60 1000
6498761 1589532 1001486 500392 199514 100199 100218 9898


Simulated Mean= -0.1577593

For any query in above, comment.

milcah answered 1 year ago
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