Question 1.4 Draw a histogram to display the probability distribution of the modified rolls we might see. Check with a neighbor or a TA to make sure you have the right histogram. In [7]: # We suggest using these bins. roll bins = np. arange(1, modifier+2+20, 1) Table( ) . with_column( "total roll", np. arange (1+modifier, 20+modifier+1) ) . hist( "total roll", bins=roll_bins) #SOLUTION 6 un Percent per unit 2 5 10 15 20 25 30 35 total roll Now let's imagine we don't know the modifier and try to estimate it from observations. One straightforward (but clearly suboptimal) way to do that is to find the smallest total roll, since the smallest roll on a 20-sided die is 1, which is roughly 0