When green, this signal means __________ A. yield to pedestrians and vehicles that are still in the intersection. B. you have the right-of-way in all situations. C. move quickly to prevent holding up traffic behind you. D. all of the above

Answer:

from functools import reduce

def mean(mylist):

   score = reduce(lambda x,y: x + y, mylist)/ len(mylist)

   return score

def median(mylist):

   sorted(mylist)

   list_len = len(mylist) % 2

   i = round(len(mylist)/2)

   x = len(mylist)//2

   if list_len == 0:

       median = (mylist[x] + mylist[x+1]) / 2  

   else:

       median = mylist[i]

   return median

def mode(mylist):

   unique = set(mylist)

   unique = list(unique)

   collector = [mylist.count(key) for key in unique]

   maxi = max(collector)

   loc = collector.index(maxi)

   return unique[loc]

def main():

   scores = input( 'Enter list of numbers: ').split(",")

   scores = [int(score) for score in scores]

   operation = input('Enter operation: ')

   operator = ['mean', 'median', 'mode']

   for x in iter(list, 0):

       if operation in operator:

           break

       print("Invalid operation: ")

       operation = input('Enter operation')

   index_loc = operator.index(operation)

   if index_loc == 0:

       return mean(scores)

   elif index_loc == 1:

       return median(scores)

       #return np.median(scores)  can be used of the defined function

   elif index_loc == 2:

       #return stats.mode(scores)[0]  can be used of the defined function

       return mode(scores)

print( main( ) )

Explanation:

The main python function calls conditionally three statistical functions namely mean, median and mode. It prompts for user input for a list of integer numbers and a function name name to return the corresponding result.

Answer: external parts

Explanation: basically everything outside the computer. Monitor,mouse, keyboard, headphones, printer.scanner,and web cam.