# import random library and set seed import numpy as np

# Step 1. # Define a function which randomly draws a ball with an integer between 1 and 100 on it; # then returns True if Player # wins and returns False if House wins. # Add a print statement to function to print random integer and test out function # Add comment statements to function # def lotto(): ball = np.random.randint(1, 100) print(f"Drew: {ball}") if (ball < 50): return 0 else: return 1 result = lotto() if (result == 0): print(f"Player wins.") else: print(f"House wins.")

# Step 2. # Create a function which simulates playing the game n_plays times; keep track of number of wins and losses # def game_cycle(n_plays): count = 0 for i in range (0, n_plays): x = lotto() if (x == 0): count += 1 return count wins = game_cycle(10) print(f"Wins: {wins}")

funds = 10000 wins = 0 for i in range (0, 5): state = game_cycle(1) if (state > 0): wins += 1 funds += 200 else: funds -= 100 print(f"${funds} remaining, {wins} wins.")

total = 0 for j in range (0, 100): funds = 10000 for i in range (0, 5): state = game_cycle(1) if (state > 0): funds += 200 else: funds -= 100 total += funds print(f"\n") average = total/100 print(f"Average funds after 100 5 game sets: ${average}")

# 1. import random and set seed

# 2. Input target sales and number of sales persons for upcoming year; low and high # percentages of sales for generating random numbers

# 3. Generate a random sales amount for each rep and check that it is in the correct range # Use a for loop; round answer to nearest cent

# 4. Add to your loop in # 3 to determine the commission for each rep # (you need an if-elif-else construct to determine rate); keep a running tab of # the sum of all commissions # round all dollar amounts to nearest cent #

# 5. Add a loop around your code in # 4 to do 10,000 simulations # Only print out the average commission for all 10,000 simulations # Don't print out all the information from Step # 4 - it will be way too much so remove # or comment out those print statements #