# Define the parameters
p <- 0.4
q <- 0.6
z <- 1 # Number of dollars needed to reach 8 dollars
m <- 8 # Total amount of money he has
# Calculate the probability using the formula
prob_a <- (((q/p)^z)-1) /( ((q/p)^m) - 1)
print(paste("Probability of winning 8 dollars before losing all money (strategy a):", prob_a))
## [1] "Probability of winning 8 dollars before losing all money (strategy a): 0.0203013481363997"
2.03%
bring his fortune up to 8 dollars (bold strategy).
p <- 0.4
prob_bold <- p^3
print(paste("Probability of winning 8 dollars before losing all money (bold strategy):", prob_bold))
## [1] "Probability of winning 8 dollars before losing all money (bold strategy): 0.064"
6.4%
The probability for the timid strategy (part a) is 2.03%.
The probability for the bold strategy (part b) is 6.4%.
Since the probability of winning 8 dollars before losing all money is higher for the bold strategy, it is the better strategy in this scenario. Based on the calculated probabilities, the bold strategy is better for Smith to get out of jail.