Description Usage Arguments Details Value See Also Examples
Computes student grade points with a bonus by minimizing the absolute difference between the fixed significant level 0.05 and a p-value of Kolmogorov-Smirnov test compares a distribution of grade points with the fixed normal distribution.
1 | gp_bonus(gp, max.bonus = 15, min.bonus = 0, threshold = 90)
|
gp |
a vector; student grade points |
max.bonus |
a positive numeric; the upper bound of the bonus point |
min.bonus |
a non-negative numeric; lower bound of the bonus point |
threshold |
a positive numeric; the upper bound of grade points with bonus |
It doesn't increase grade points to be lower than 60 with the bonus points.
Grade points, which are greater than the threshold
, won't be changed. Also, it won't increase grade points over the upper limit is defined by the parameter threshold
.
list; new and old grade points, a bonus point
1 2 3 4 5 6 7 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.