# 01 성적을 살펴봅시다!
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
print ("Grades:", grades)
Grades: [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
# 02 성적 출력하기
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def print_grades(grades):
for e in grades:
print (e)
print_grades(grades)
100 100 90 40 80 100 85 70 90 65 90 85 50.5
# 03 리뷰
print ("Let's compute some stats!")
Let's compute some stats!
# 04 점수의 총합
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def grades_sum(scores):
total = 0
for score in scores:
total += score
return total
print (grades_sum(grades))
1045.5
# 05 평균값 계산하기
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def grades_sum(scores):
total = 0
for score in scores:
total += score
return total
def grades_average(grades):
num = len(grades)
return grades_sum(grades) * 1.0 / num
print (grades_average(grades))
80.42307692307692
# 06 리뷰
print ("Time to conquer the variance!")
Time to conquer the variance!
# 07 분산
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def print_grades(grades):
for grade in grades:
print (grade)
def grades_sum(grades):
total = 0
for grade in grades:
total += grade
return (total)
def grades_average(grades):
sum_of_grades = grades_sum(grades)
average = sum_of_grades * 1.0/ len(grades)
return (average)
def grades_variance(grades, average):
variance = 0.0
for grade in grades:
variance += (grade - average) ** 2
return variance / len(grades)
print (grades_variance(grades, grades_average(grades)))
# 분산(variance)은 편차 제곱의 평균
# 편차(deviation)는 평균과 차이 (즉, 평균에서 얼마나 떨어져 있는지 값)
334.0710059171598
# 08 표준 편차
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def print_grades(grades):
for grade in grades:
print (grade)
def grades_sum(grades):
total = 0
for grade in grades:
total += grade
return (total)
def grades_average(grades):
sum_of_grades = grades_sum(grades)
average = sum_of_grades * 1.0/ len(grades)
return (average)
def grades_variance(grades, average):
variance = 0.0
for grade in grades:
variance += (grade - average) ** 2
return variance / len(grades)
def grades_std_deviation(variance):
return variance ** 0.5
print (grades_std_deviation(grades_variance(grades, grades_average(grades))))
# 표준편차(SD, standard deviation): 분산(variance)의 제곱근
18.277609414722697
# 09 리뷰
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
def print_grades(grades):
for grade in grades:
print (grade)
def grades_sum(grades):
total = 0
for grade in grades:
total += grade
return total
def grades_average(grades):
sum_of_grades = grades_sum(grades)
average = sum_of_grades * 1.0/ len(grades)
return average
def grades_variance(grades, average):
variance = 0.0
for grade in grades:
variance += (grade - average) ** 2
return variance / len(grades)
def grades_std_deviation(variance):
return variance ** 0.5
print_grades(grades)
print (grades_sum(grades))
print (grades_average(grades))
print (grades_variance(grades, grades_average(grades)))
print (grades_std_deviation(grades_variance(grades, grades_average(grades))))
grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]
print ("Grades:", grades)
100 100 90 40 80 100 85 70 90 65 90 85 50.5 1045.5 80.42307692307692 334.0710059171598 18.277609414722697 Grades: [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5]