This is one of my discussion question that needs to be answer with at least 125 words. Please use own wordsDescribe in what way probabilities help estimate parameters to test a hypothesis.

# 1. Monty-Hall Three doors Recall the Monty-Hall game with three doors, discussed in class. Run a simulation to check that the probablility of winning increases to 2/3 if we switch doors at step two.Set up the experiment two functions "monty_3doors_noswitch" and "monty_3doors_switch" (these functions will have no input values):```{r}monty_3doors_noswitch <- function(){}monty_3doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 2: Monty-Hall with Ten doors.Repeat the Monty Hall experiment now with 10 doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens 8 (out of 9 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have no input values):```{r}monty_10doors_noswitch <- function(){}monty_10doors_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions. ```{r}```# 3. Monty-Hall 10-doors (modified).Consider the following modified Monty-Hall game with 10 doors. Step 1: you choose one door at random.Step 2: Monty opens 7 (out of 9 doors) that do not have the prize. Step 3: you either stick with your original choice, or choose between one of the two unopened doors. Set up the experiment two functions "monty_10doors_mod_noswitch" and "monty_10doors_mod_switch" (these functions will have no input values):```{r}monty_10doors_mod_noswitch <- function(){}monty_10doors_mod_switch <- function(){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.The computation of the theoretical probability in this case might not be completely obvious, however, use your empirical probability to make a guess. ```{r}```Not for submission: Play with this modified setup, for example Monty opens 6 doors at step 2 etc. # 4. BONUS: Monty Hall with n-doors.Repeat the Monty Hall experiment now with n doors. Recall the game is as follows: Step 1: you choose one door at random.Step 2: Monty opens n-2 (out of n-1 doors) that do not have the prize. Step 3: you either switch or don't switch. Set up the experiment two functions "monty_10doors_noswitch" and "monty_10doors_switch" (these functions will have input value as n):```{r}monty_ndoors_noswitch <- function(n){}monty_ndoors_switch <- function(n){}```Use your two functions and the replicate function to compute the empirical probablility of winning for the two experiments.Compare your answers with the actual theoretical predictions.```{r}```