#Program to calculate statistics from student test scores. midterm_scores = [99.5, 78.25, 76, 58.5, 100, 87.5, 91, 68, 100] final_scores = [55, 62, 100, 98.75, 80, 76.5, 85.25] #Combine the scores into a single list all_scores = midterm_scores + final_scores num_midterm_scores = len(midterm_scores) num_final_scores = len(final_scores) print(num_midterm_scores, 'students took the midterm.') print(num_final_scores, 'students took the final.') #Calculate the number of students that took the midterm but not the final dropped_students = num_midterm_scores - num_final_scores print(dropped_students, 'students must have dropped the class.') lowest_final = min(final_scores) highest_final = max(final_scores) print('\nFinal scores ranged from', lowest_final, 'to', highest_final) # Calculate the average midterm and final scores # Hint: Sum the midterm scores and divide by number of midterm takers # Repeat for the final

try this

Explanation:

#Python program for calculating avg

#Given data

m1 = [99.5, 78.25, 76, 58.5, 100, 87.5, 91, 68, 100]

f1 = [55, 62, 100, 98.75, 80, 85.25]

#combine scores

all_scores = m1 + f1

#number of m1 and f1

num_midterm = len(m1)

num_final = len(f1)

#find avg of scores

avg_midterm = sum(m1) / num_midterm

avg_final = sum(f1) / num_final

#print the avg

print("Average of the m1 score:",round(avg_midterm,2))

print("Average of the f1 score:",round(avg_final,2))

Value per share today is $13.28

Explanation:

The sustainable growth rate can be calculated using the following formula,

Sustainable growth rate (g) = ROE * (1 - DividendPayout Ratio)

Where,

Thus, g = 0.07 * (1-0.6) = 0.028 or 2.8%

The formula for price or intrinsic value per share is,

P0 or V = D1 / r-g

The earnings per share is Net income per share. Out of this net income, 60% will be paid out as dividends so dividend per share expected for next year is 2.7 * 0.6 = 1.62

Thus, value per share will be,

V = 1.62 / (0.15 - 0.028)   = $13.278 rounded off to 13.28