Nt1310 Unit 2 Case Study

When looking to answer question 1, we had to decide which set of data to use, the data from the pressure sensors, or the data from the CO2 monitors. So we first decided to answer question 2, and use the set of data from the more accurate method. According to our results the calculated average R^2 values for the best fit lines for the pressure sensor data and the CO2 were 0.715 and 0.683, respectively. From these results, we extrapolated that the CO2 sensors were more accurate, and we would therefore use the CO2 when drawing conclusions about question 1. According to the results from the CO2 sensor data, the germinated quinoa was the most alive, with a rate of CO2 released of 72.2 ppm/minute. This point was followed by germinated beans (65.1 ppm/minute), ungerminated wild rice (8.8ppm/minute), ungerminated quinoa (4.35 ppm/minute), germinated wild rice (2.8 ppm/minute), and finally ungerminated beans (0.6 ppm/minute). From this also concluded that germinated foods tend to have higher AR rates that ungerminated food of the same type, with the exception of wild rice. However, because the experiment is very small, with only three food types, this generalization may not be fully accurate. Another caveat is that the CO2 monitors and pressure sensors resulted in completely different results. We chose to use the CO2 data because we determined it was more accurate, but again, since the experiment is rather small, there is no way to make sure that generalizations about AR in various food types are truthful.