The hypothesis stated that if sucrose was added to the yeast, then the greatest amount of CO2 would be produced because sucrose contains glucose as one of its individual sugar units, which is the primary food source for eukaryotic cells undergoing aerobic cellular respiration. This hypothesis was supported by data from the group and class averages. According to the group data, sucrose had the greatest respiration rate at 35.94 ppm/s, then agave at 20.22 ppm/s, honey at 13.69 ppm/s, and the lowest respiration rate water, at 3.63 ppm/s. The class data was as follows: sucrose with 13.66 ppm/s, Honey with 11.24 ppm/s, agave with 11.09 ppm/s, and finally water with the lowest respiration rate again at 3.03 ppm/s. The group’s data for sucrose was …show more content…
The believability of the group data is arguable. An error that occurred in the group was due to the faulty carbon dioxide sensor. When testing sugars, such as sucrose, the carbon dioxides would rise and fall randomly. This explain why the group data for sucrose was 35.94 ppm/s when the class data for sucrose was 13.66 ppm/s, which is a little more than half the amount. In order to fix this problem, carbon dioxide sensor’s could have been switched to one that worked more efficiently and properly. Another issue that potentially occurred was that the sugar to yeast ratio was not completely accurate. There is a great possibility that when measuring the yeast and sugar, more sugar was added or more yeast accidentally. Next time, materials need to measured out more accurately by slowly pouring substances and not being too lazy to remeasure. A third error that most likely caused different data was overtiming the respiration chamber data collection. Often times the group forgot to set a thirty second timer before pressing collect on logger pro which obviously had an effect on the results. In order to avoid common mistakes like this, one person should be assigned as the timer to make sure each trial is as accurate as possible, and no trials have extra respiration time. Accurate labs and data are crucial in providing valid results and forming