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β 10y agoask Bill Nye
Wiki User
β 10y ago1.296 grams = 0.001296kg
2068 grams
2.55 grams = 2,550 grams
Grams and grams are the same measurement. Therefore, 61.2 grams is equal to 61.2 grams.
600 grams
It would depend how it was prepared- that would change the number drastically.
Sodium sulfate is not prepared from hydrogen chloride.
5000 grams and a little cinnamon
When 42.0 grams of baking soda (sodium bicarbonate, NaHCO3) decomposes, it produces 22.0 grams of sodium carbonate (Na2CO3) and 20.0 grams of carbon dioxide (CO2) gas.
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To determine the grams of potassium chloride formed, you first need to calculate the moles of oxygen produced by the decomposition of potassium chlorate. Then, use the stoichiometry of the balanced chemical equation to convert moles of oxygen to moles of potassium chloride. Finally, from the molar mass of potassium chloride, you can calculate the grams formed.
The decomposition of potassium chlorate produces oxygen gas and potassium chloride. The molar ratio of oxygen to potassium chlorate is 3:2. Therefore, to find the grams of oxygen produced, you would calculate (6.02g * 3 mol O2/2 mol KClO3) * molar mass of O2.
To find the mass of fluorine produced, first calculate the mass of sodium fluoride: 27.7 grams of sodium / (1 part sodium / 1 part sodium fluoride) = 27.7 grams of sodium fluoride Now, since the ratio of sodium to fluorine in sodium fluoride is 1:2 (1 part sodium to 2 parts fluorine), the mass of fluorine is 27.7 grams / 2 = 13.85 grams.
The molar mass of calcium carbonate is 100.1 g/mol, and the molar mass of calcium oxide is 56.08 g/mol. Therefore, 12.25 grams of calcium carbonate would produce 6.86 grams of calcium oxide after decomposition.
· It is not recommended for use above 70° Celsius although it can be taken to 80° for short periods. · Sensitive to UV and oxidative degradation. · Limited thermal capability. · Thermal decomposition evolves HCI. · Higher density than many plastics. Posted By - Menteri (My)
The singular value decomposition is a component of a real complicated matrix with many useful applications in signal processing and statistics. The singular value decomposition and the eigen decomposition are very closely related.
how rapid of decomposition are we talking? what kind of decomposition? what is causing it? the answer to your question is "any", because there are too many variables left open and therefore infiinite possibilities.