Evaluation In this experiment data on the effect of pH levels on seeds germination it is consistent with a single best - fit line. Best- fit line is being used to show the relationship between the pH levels and seeds root length. Since the best- fit of this data is quadratic, I have to linearize my graph to a linear graph. Since my graph is a linear graph this shows that there is a relationship between pH levels and seeds root length. The value of the y- intercept in this experiment represents the average root length in millimeter. The uncertainty in the y- intercept was +/- .5 mm. +/- .5 mm is the uncertainty for the ruler that is being used to measure the root length of the seed, which is also known as systematic error. The Y- intercept in this experiment is -37.9 which is not reasonable because when seeds is in pH 2 and pH3 solutions there is no data to collect for those two pH levels due to the high amount of acid in the solutions. Systematic error and the Y- intercept indicate a high level of accuracy, and inaccuracy. …show more content…
The uncertainty in my slope is +/- .05-mm/ pH. Since the slope have a small uncertainty, this indicates a high level of precision or a lack of random error. To improve this experiment I need to increase pH range test lower and higher extreme pH level and use more accurate pH strips or pH reader. Some of the error in this experiment is not measuring the root length accurately, and temperature is not