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
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