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Loops

>Analyzing dice rolls is a common example in understanding probability and statistics. The following program calculates the number of times the sum of two dice (randomly rolled) is equal to six or seven.

“`python
import random

num_sixes = 0
num_sevens = 0
num_rolls = int(input(‘Enter number of rolls:\n’))

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Loops
>Analyzing dice rolls is a common example in understanding probability and statistics. The following program calculates the number of times the sum of two dice (randomly rolled) is equal to six or seven.

“`python
import random

num_sixes = 0
num_sevens = 0
num_rolls = int(input(‘Enter number of rolls:\n’))

if num_rolls >= 1:
for i in range(num_rolls):
die1 = random.randint(1,6)
die2 = random.randint(1,6)
roll_total = die1 + die2

#Count number of sixes and sevens
if roll_total == 6:
num_sixes = num_sixes + 1
if roll_total == 7:
num_sevens = num_sevens + 1
print(‘Roll %d is %d (%d + %d)’ % (i, roll_total, die1, die2))

print(‘\nDice roll statistics:’)
print(‘6s:’, num_sixes)
print(‘7s:’, num_sevens)
else:
print(‘Invalid number of rolls. Try again.’)
“`

Create a different version of the program that prints a histogram in which the total number of times the dice rolls
equals each possible value is displayed by printing a character, such as *, that number of times.

The following provides an example:

![loopexample](https://i.imgur.com/W816Pm5.png)

Due: Monday, 30 September 2019, 6:00 AM

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