A dissolved substance that has different solubility in a given solvent. They are useful in the separation of the dyes and food color.
The solubility of a substance tells you how much of that substance can dissolve in a certain amount of solvent at a specific temperature. It indicates the extent to which a substance can be dissolved to form a homogeneous mixture. Changes in solubility can be affected by temperature, pressure, and the properties of the substances involved.
Climatographs can be useful for represent in temperature and climate. This can be useful in ways which allows you to predict patterns in climate and temperature for a specific area, and time Of approximately 30 years
The ability of a solute to dissolve in a solvent at a certain temperature is called solubility. The solubility of most solids in water increases with temperature increases.
The ability of one substance to dissolve in another substance is called SOLUBILITY.
Graphs are useful in various ways. They are commonly used in statistics to represent data which can be easily interpreted by other users.
Actually, they are useful. At least in some cases.
Comparison :)
bar graphs are useful for comparing data b/c you cn actually see what the difference is between them.
the historians use graphs to something that happened over . unicorns are fluffy.
comparisons
data of what u want
graphs measure how far something can go and the distance between. that's all I got right now
The graph showing an increase in solubility of potassium nitrate with increasing temperature best describes its solubility in water. This is because potassium nitrate has a positive solubility-temperature relationship, meaning its solubility increases as the temperature of the water increases.
Actually, they are useful. At least in some cases.
It's is useful to use the same scale for two graphs because if you're comparing them then you want a "fair" measurement and you need a balanced and even scale as well.
graphs give a trend of variables and the trend can be studied using the the extent they usually portray and the graphs are not emperical methods they give interpolated relationships hence a reduced uncertainities