curving

Well, curving the rod is a pretty simple way of eliminating one source of errors - why not do it when it's so easy.

I'm not sure if the curving is necessary, but it certainly is nice.

Sounds like, at that point, the students were no longer in a normal distribution and therefore curving failed.

On a later test, she threw out my score as an outlier when curving the grade.

Most great cities in Mesopotamia, for example, had curving streets and a more organic-looking layout.

There are also lines in her cheeks that make it look like her mouth curving upwards, but the lips are actually quite flat.

Barn door trackers can have very low error without curving the rod.

I implemented seam curving to shrink 800x600 image into 800x200 image on one core computer with less than 1 second.

I don't remember the exact details now, and this was at a British university that did neither extra credit nor curving.

Just curving out the scale isn't going to address that.

Essentially curving from both ends, to fit a desired distribution.

Good image resizing algorithm(cubic/seam curving) is time consuming.

In fact, it's part of the solution: as cohort size increases, generally there are more sections of a course taught, and "curving" allows for easier comparison between those courses.

I think it helps in addition to the 2D curving sheet illustration by imagining 3D space with "liquid-density." In an empty system, the space liquid-density is uniform and an object with certain inertia just moves straight ahead.

I would say this results in higher curves due to lower test performance in classes, that do not actually result in curving everyone up to an A, and thus is perceived by the outside world as "tough grading" but I think the students are of high caliber, but really it is a result of poor teaching.

Curving and extra credit can go over 100, and extra credit can be common in a mandatory intro module.

Curving a threaded piece of thin metal rod is not that hard.

Curving only makes sense when there's a normal distribution.