In chemistry, S2 typically refers to a sulfide ion, which is a negatively charged ion composed of two atoms of sulfur. Sulfide ions are common in compounds such as hydrogen sulfide (H2S) and metal sulfides (e.g. FeS, ZnS).
Ferrous is the traditional name of the iron (II) ion. (Fe 2+) The formula for ferrous sulfide is FeS since sulfur has a charge of -2.
The chemical formula for lithium is Li. The chemical formula for sulfide ion is S2-. Therefore, the chemical formula for lithium sulfide would be Li2S.
The symbol for sulfide, one of the many ions, is S2-.
1 mol S2 * (2 (32.07) g S2/mol S2) = 64.14 g S2
I'm assuming that 2 is supposed to be a subscript, which would make that a negatively-charged ion consisting of two sulfur atoms. The aq means "aqueous" which means the ion is dissolved in water.
What is a syllabus chemistery?" What is a syllabus chemistery?"
chemistery is the study of chemicals and how the react.
gllelo galle
chemist or a chemistery
Yes, (provided you passed your BSc).
nope
at pluto -- 0.61m/s2 at earth -- 9.8m/s2 mean u can have much high compared to earth
Rudimentary S1 and S2 refer to basic or fundamental types of sound or signals, often used in the context of audio or sound design. S1 typically denotes the first sound or signal, while S2 indicates a secondary sound. In a broader context, these terms can be related to various fields, such as music, acoustics, or even electronics, where distinguishing between primary and secondary signals is important for analysis or design.
Salts are the products of the reactions between acids and bases.
Base is a solution that have ph over 7 and can accept hydrogen ions.
When mercury is found in an elemental form, it means that it exists in its pure, uncombined state as a single atom or a molecule of mercury. Elemental mercury is a liquid at room temperature and is known for its unique properties, such as being a good conductor of electricity.
The sample mean is distributed with the same mean as the popualtion mean. If the popolation variance is s2 then the sample mean has a variance is s2/n. As n increases, the distribution of the sample mean gets closer to a Gaussian - ie Normal - distribution. This is the basis of the Central Limit Theorem which is important for hypothesis testing.