Consider a simple model of a nucleotide in a genome, which at any moment can be in one of two states: ancestral (A) and mutant (M). Suppose that the transition probabilities are (per generation): 0.3 (mutation from A to M) and 0.1 (reversion from M to A). Write a script to a make a random decision for a single nucleotide based on the Markov model, where you assign the initial state to be either 0 (A) or 1 (M). The script should first use an if statement to check whether the state is 0 or 1 and then use the transition probabilities given above to make the random decision