#NUMPY CHECKPOINT #Create a numpy array called "grades" that contains the following grades: [85, 90, 88, 92, 95, 80, 75, 98, 89, 83] import numpy as np grades = np.array([85, 90, 88, 92, 95, 80, 75, 98, 89, 83])
print("Grades:", grades) #instructions:
#grades_analysis.py: import numpy as np
grades = np.array([85, 90, 88, 92, 95, 80, 75, 98, 89, 83])
mean_grade = np.mean(grades) median_grade = np.median(grades) std_deviation = np.std(grades)
print("Grades:", grades) print("Mean:", mean_grade) print("Median:", median_grade) print("Standard Deviation:", std_deviation)
import numpy as np
grades = np.array([85, 90, 88, 92, 95, 80, 75, 98, 89, 83])
max_grade = np.max(grades) min_grade = np.min(grades)
sorted_grades = np.sort(grades)
index_of_highest_grade = np.argmax(grades)
num_students_above_90 = np.sum(grades > 90)
print("Grades:", grades) print("Maximum Grade:", max_grade) print("Minimum Grade:", min_grade) print("Sorted Grades:", sorted_grades) print("Index of Highest Grade:", index_of_highest_grade) print("Number of Students Above 90:", num_students_above_90)
grades = np.array([85, 90, 88, 92, 95, 80, 75, 98, 89, 83])
percentage_above_90 = np.mean(grades > 90) * 100
percentage_below_75 = np.mean(grades < 75) * 100
high_performers = grades[grades > 90]
passing_grades = grades[grades > 75]
print("Grades:", grades) print("Percentage of Students Above 90:", percentage_above_90, "%") print("Percentage of Students Below 75:", percentage_below_75, "%") print("High Performers:", high_performers) print("Passing Grades:", passing_grades)