Grades report for Finance 4335, circa October 10, 2018

Earlier today, I updated Canvas to reflect course, attendance, quiz, problem set and exam grades for the 71 students who are currently enrolled in both sections of Finance 4335.  Here are the descriptive statistics for these grades.

Course Grade Attendance Quizzes Problem Sets Midterm Exam 1
Mean 84.22 95.21 70.90 86.04 83.56
Standard Deviation 11.55 6.39 13.82 12.61 20.47
Minimum 48.83 73.33 26.00 39.33 0.00
25th percentile 81.17 93.33 60.50 81.29 80.50
50th percentile 87.72 100.00 72.00 89.42 92.00
75th percentile 91.26 100.00 82.00 94.75 96.00
Maximum 98.83 100.00 95.00 100.00 100.00

Let me explain next how I calculated the “Course Grade”.  In the syllabus, the final (end-of-semester) course numeric grade calculation is given as

Final Course Numeric Grade = .10(Class Attendance) + .10(Quizzes) + .20(Problem Sets) + Max{.20(Midterm Exam 1) + .20(Midterm Exam 2) + .20(Final Exam), .20(Midterm Exam 1) + .40(Final Exam), .20(Midterm Exam 2) + .40(Final Exam)}

At the end of this semester, I will assign letter grades based upon the following schedule (which also appears in the course syllabus):

Final Course Letter Grade. The final course letter grade will be based upon the following schedule of final course numeric grades:

A 93-100% C 73-77%
A- 90-93% C- 70-73%
B+ 87-90% D+ 67-70%
B 83-87% D 63-67%
B- 80-83% D- 60-63%
C+ 77-80% F <60%

Since we are halfway through the semester, the equation for the Mid-Semester Course Numeric Grade which now appears in Canvas is calculated as :

Mid-Semester Course Numeric Grade =(.10(Class Attendance) + .10(Quizzes) + .20(Problem Sets) + .20(Midterm Exam 1)/.6

Keep in mind that you don’t actually receive a letter grade until the end of the semester.  However, in the meantime, this calculation at least provides a clear indication of how everyone is doing overall so far.

Print Friendly, PDF & Email

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.