Problem 2) 5 test cases, 1 point for each passed test case. (5 points total) Using Python in the Jup. Notebook, write a function called q summary Vl which takes as input: numbers - a list of numbers The function q summary VI should return a dictionary containing the min, Q1, Q2, Q3, and max. Feel free to utilize the numpy function for quantile instead of implementing the formulas to calculate index positions that we reviewed in class. You will not lose credit for using numpy or for using default python, however, your answers should be correct either way. q_summary_V1 should also warn the user if there are any outliers by printing them to the screen. The following screenshot shows an example function call: These are the two test cases that you should pass to gain 2/5 points as well. grades = sorted([0, 0, 14, 35, 91, 100, 81, 77, 75, 66, 78, 80, 81, 63, 87, 90, 89]) print(q_summary_v1(grades)) The following are outliers: [0, 0, 14] {'min': 35, 'qi': 63.0, '92': 78.0, '93': 87.8, 'max': 100} times = [5, 10, 10, 15, 15, 15, 15, 20, 20, 20, 25, 30, 30, 40, 40, 45, 60, 60, 65, 89] print(q_summary_v1(times)) The following are outliers: [89] {'min': 5, 91': 15.0, '92': 22.5, '93': 41.25, 'max': 65} Problem 2) 5 test cases, 1 point for each passed test case. (5 points total) Using Python in the Jup. Notebook, write a function called q summary Vl which takes as input: numbers - a list of numbers The function q summary VI should return a dictionary containing the min, Q1, Q2, Q3, and max. Feel free to utilize the numpy function for quantile instead of implementing the formulas to calculate index positions that we reviewed in class. You will not lose credit for using numpy or for using default python, however, your answers should be correct either way. q_summary_V1 should also warn the user if there are any outliers by printing them to the screen. The following screenshot shows an example function call: These are the two test cases that you should pass to gain 2/5 points as well. grades = sorted([0, 0, 14, 35, 91, 100, 81, 77, 75, 66, 78, 80, 81, 63, 87, 90, 89]) print(q_summary_v1(grades)) The following are outliers: [0, 0, 14] {'min': 35, 'qi': 63.0, '92': 78.0, '93': 87.8, 'max': 100} times = [5, 10, 10, 15, 15, 15, 15, 20, 20, 20, 25, 30, 30, 40, 40, 45, 60, 60, 65, 89] print(q_summary_v1(times)) The following are outliers: [89] {'min': 5, 91': 15.0, '92': 22.5, '93': 41.25, 'max': 65}