@@TaeThei The mid point is max weight / 2. For example for a 100 g analytical balance it would be 100 g / 2 = 50 g. The further (A+B) or (C+D) are from the mid point (50 g), the less you know about the linearity around the mid point of the balance. Just imagine if the weight of (A+B) was 99.9000 g and (C+D) was 0.1000 g. Then the test would be worthless.
@@nixxonnor @Nicolai Ive read in an analytical journal that two values to be weighed should be less than 50% and one that is more than 50%. I dont think anyone would go to such extremes as stated the lowest 0-0.0001 is properly calibrate. The value you provided is within the highest and lowest limitations of the device. The purpose of this is to show that anything you weigh in bweteen the highest and lowest limitations (regardless if purely within midpoint) may produce a linearity error purely with random samples. I dunno, correct me if Im wrong Edit: not trying to be rude. Just wanna have an academic discussion lols ;)
Wow the calculations somehow magically inserted itself to the video around 2012. Amazing.
I expected the mid-point of a ~100 g full scale balance to be closer to 50 g. (~84 g seems pretty close to maximum weight and far from mid scale)
@@TaeThei The mid point is max weight / 2. For example for a 100 g analytical balance it would be 100 g / 2 = 50 g. The further (A+B) or (C+D) are from the mid point (50 g), the less you know about the linearity around the mid point of the balance. Just imagine if the weight of (A+B) was 99.9000 g and (C+D) was 0.1000 g. Then the test would be worthless.
@@nixxonnor @Nicolai Ive read in an analytical journal that two values to be weighed should be less than 50% and one that is more than 50%. I dont think anyone would go to such extremes as stated the lowest 0-0.0001 is properly calibrate. The value you provided is within the highest and lowest limitations of the device. The purpose of this is to show that anything you weigh in bweteen the highest and lowest limitations (regardless if purely within midpoint) may produce a linearity error purely with random samples. I dunno, correct me if Im wrong
Edit: not trying to be rude. Just wanna have an academic discussion lols ;)
Please, leave out the background music.