To determine your current standing in the class, you should take your total points (posted in BlackBoard) and add up to twenty points (five points for each research participation credit earned). If that yields 180 or more, you have an A, 160 or more a B, 140 or more a C, 120 or more a D, below 120 an F.
Here are some statistics on the distribution of grades. In computing these statistics I have assumed that each student has earned two research participation credits (10 points credited towards total points). I also added six points to every score on the second exam, one more than called for by my grading scheme. Consider it a small bonus.
| N | Minimum | Maximum | Mean | Std. Deviation | |
|---|---|---|---|---|---|
| Exam_1 | 85 | 30.00 | 100.00 | 75.9765 | 14.66935 |
| Exam_2 | 82 | 37.00 | 101.00 | 70.5366 | 14.74156 |
| Total | 80 | 66 | 201 | 145.96 | 28.512 |
Notice that the average grade on the second exam was five points lower than on the first exam.
Grades on the Second Exam
| Frequency | Percent | |
|---|---|---|
| A | 6 | 7.3 |
| B | 19 | 23.2 |
| C | 23 | 28.0 |
| D | 13 | 15.9 |
| F | 21 | 25.6 |
| Total | 82 | 100.0 |
I liked better the looks of the distribution of grades on the first exam.
Grades on the First Exam
| Frequency | Percent | |
|---|---|---|
| A | 6 | 7.5 |
| B | 24 | 30.0 |
| C | 16 | 20.0 |
| D | 19 | 23.8 |
| F | 15 | 18.8 |
| Total | 80 | 100.0 |
Scores on the second exam were well correlated with scores on the first exam, r = .70, p < .001.