Need some help explaining an R Based question

Just need some help to start on this

Let us consider a scenario where an attacker has a maximum of 24 attempts to guess a key. In this case, the index ofthe trial that an attacker must make to successfully guess the key can be considered a random variable X, that takes values from 1 to 24. The key is distributed in such a way that the probability of a succesle guess for the attacker in each trial is different. The vector of probabilities of success for each that is called the probability distribution PI of the random variable X. P3:{X = 1} represents the probability of success in the rst trail, P${X = 2) represents the probability of success in the second trial and so on_. Let us now generate the probability distribution Pa: for the random variable X such that Pa: obeys the rule Pa: [1] 1:} Pic[2] >. . . i.e. the highest chance of success for the attacker is in the rst trial and at every subsequent trial the probability of success drops. We do this using a pseudo random number generator in R and the following steps. step 1: The R command runiff) in the code block below generates 24 random numbers between I) and 1, drawn from a uniform distribution. Notice that every time you run the code block you will get a different vector A. lCode | 3 Start Over | I. Run Code 1