Convert Scruple (Apothecary) (s.ap) to Quarter (US) (qr (US)) instantly.
Scruple (Apothecary) to Quarter (US) conversion
1 Scruple (Apothecary) (s.ap) = 0.00011428571 Quarter (US) (qr (US)). To convert Scruple (Apothecary) to Quarter (US), multiply the value by 0.00011428571.
| Scruple (Apothecary) (s.ap) | Quarter (US) (qr (US)) |
|---|---|
| 1 | 0.00011428571 |
| 2 | 0.00022857143 |
| 5 | 0.00057142857 |
| 10 | 0.0011428571 |
| 25 | 0.0028571429 |
| 50 | 0.0057142857 |
| 100 | 0.011428571 |
| 1000 | 0.11428571 |
Frequently asked questions
How many Quarter (US) are in one Scruple (Apothecary)?
One Scruple (Apothecary) (s.ap) equals 0.00011428571 Quarter (US) (qr (US)).
How do I convert Scruple (Apothecary) to Quarter (US)?
To convert Scruple (Apothecary) to Quarter (US), multiply the value by 0.00011428571.
What is 10 Scruple (Apothecary) in Quarter (US)?
10 Scruple (Apothecary) = 0.0011428571 Quarter (US).
About these units
Scruple (Apothecary) (s.ap)
The scruple is an old apothecary unit equal to 20 grains or 1.2959782 grams, originating in ancient Greek and Roman medicine. Apothecaries used scruples for compounding herbal remedies, powders, and tinctures long before standardized metric systems were adopted. Its size made it ideal for preparing early pharmaceuticals where doses needed to be accurate but not excessively granular. Over centuries, the scruple appeared in medical recipes, early scientific writings, and even medieval charms and remedies. Although obsolete today, replaced by milligrams and grams, the scruple is vital for historians studying early medical texts, pharmacy records, and classical-era scientific practices.
Quarter (US) (qr (US))
The US quarter equals 25 pounds, serving as a smaller commercial subdivision of the hundredweight. It was used for pricing agricultural goods, livestock feed, and some industrial materials. Its convenience arises from the fact that four quarters make a hundredweight, simplifying scaling between small and medium quantities. Today it is mostly of historical interest, but agricultural economists still encounter it when analyzing archival data.