Attendance and performance in MS 150 Statistics

The college has an attendance policy which effectively permits six absences in a MWF class and four in a TuTh class, the equivalent of two weeks worth of absences. Anything beyond two weeks of absences, excused or unexcused, cause the student to fail the course. With next fall the college is shifting to a policy wherein the instructor sets the attendance policy most appropriate for their course. So with the sunset of the last term under the current policy, here are the statistics on my 56 students in two sections of MS 150 Statistics.

stat abs
count 56
min 0
max 16.5
range 16.5
midrange 8.25
mode 1.3
median 4.65
mean-stdv 1.29
mean 5.4
mean+stdv 9.52
mean/max 0.33
stdev 4.12
cv 0.76
Correlation -0.7

Absences range from zero to 16.5, with the 16.5 being a student who no longer attends the class but has not officially withdrawn from the course and hence remains on the role. The mean is 5.40 absences.

In my courses a late is a third of an absence. Since I run attendance as a point per day, a third of an absence would be "0.6666..." Thus I actually enter "0.7" making a late technically 30% of an absence. Extremely late (arriving half way through the period) causes a reduction to 50% of a point, hence the fractional mode and median.

I do not automatically exclude a student from the MWF class based solely on attendance. A regression analysis of absences versus percentage of points in the course has a correlation r of -0.70, fairly strong and an indicator that attendance is linked with performance in the course.

Now if someone will remind a year hence, given I still live and continue to teach MS 150 at that time, to rerun this study I would be much obliged!


Popular posts from this blog

Box and whisker plots in Google Sheets

Areca catechu leaf sheaf petiole plates

Setting up a boxplot chart in Google Sheets with multiple boxplots on a single chart