seeing as this video is taking forever to upload, i might as well finish the rest of this off noww....
SO:
The purpose of this whole experiment was to investigate how the gradual addition of non-volatile solutes affects the boiling point of water. Based on background research, I found that what was supposed to happen was that the addition of non-volatile solutes to boiling water will cause the temperature of the water to rise and boil at higher temperatures because of intermolecular forces, dissociation and vapour pressure. Salt, sugar and sodium bicarbonate were added in 20g intervals to boiling water and the highest temperature reading was recorded at each interval. The results show that each solute raised the boiling point temperature of the water. In the experiment, the independent variable is the amount of solute added to the water. The dependent variable is the temperature of the water. I controlled the variables but because of the subjective nature of determining the boiling temperature at a given time, I came across a few errors where the magnitude of the measured increases deviated from the predictions. However, in total, the experiment supported the common hypothesis that the addition of any non-volatile solute to water increases its boiling point.
The experimental results
These pretty much showed the rise in temperature each time- it all agreed with the hypothesis- the water displacement because of evaporation and the percentage in temperature increases.
So after a very long and tiring experiment, I can conclude confidently, that the addition of various non-volatile chemicals to the boiling point of water will cause the temperature of water to rise and boil at higher temeperatures. The results showed that the addition of salt, sugar or sodium bicarbonate to water increased its boiling point temperature. This is in agreement with the common hypothesis that the addition of any non-volatile solute to water increases its boiling point. However, because of the limited capability of the experimental equipment, the magnitude of the measured increases deviated from the predictions.
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