Science Education News (SEN) Journal 2018 Science Education News Volume 67 Number 3 | Page 57

YEARS 7–12 IDEAS ARTICLES FOR THE CLASSROOM Using Real Data, and Analysing Errors (continued) Figure 4: The effect of a curved track is consistent with our experimental observations. The fall times from our mathematical model were interpreted as uniform accelerations using the equation a = 2l/t  2 and plotted in figure 4. The results calculated over a range similar to our experiment closely match the experimental observations if the track is 0.16 mm higher in the middle. This is plausible and consistent with all our observations. The distance is so small that it is beyond our ability to measure directly. my absolute belief in the correctness of Newton’s description of motion under most laboratory and real life conditions. The curvature is small enough to be physically plausible. The track is attached to the I-beam by five pairs of adjusting threads and butterfly nuts spaced along the length of the track, but the distance to move is a small fraction of the thread pitch. The curvature of the track makes the assumption of uniform acceleration invalid, particularly at very low angles. The model also examined what happens when the curve bows downwards, but the results will not be expanded upon here beyond the term “long pendulum” to show a key idea in interpreting the result. This is left as “an exercise for keen students”. The method examined negative slopes, where the glider accelerates in the other direction. This was intended to give a longer baseline for calculating the gradient of the graph. In fact, using both directions demonstrated problems with the track being slightly curved, and possibly not uniformly. The acceleration in the negative direction was slightly less. Discussion The longer fall times and much lower speeds of this experiment gave a better value of g than using stopwatches to record balls falling through 7.5 metres in an earlier experiment. The raw data give g at about 10.0 to 10.1 m.s –2 , more precise but not accurate. Analysis of the data and discussion with students revealed four sources of error: leveling the track, curvature of the track, the initial velocity of the glider, and both random and systematic errors in the timing by students and teacher. Leveling the track was a minor problem, easily corrected by tweaking the data to adjust the angle by a plausibly small amount. Some students commented on greater variation in the fall times at low angles. Tiny initial speeds would significantly affect the timing. To minimise this, the glider was restrained until launch by the tip of a biro. This was rapidly removed in the forward direction to make the launch consistent, and avoiding contact with sticky human hands. The glider carried several 50 g masses to minimise the effect of any external forces other than gravity. The increased mass does not measurably change the acceleration, as expected. Curvature of the track was examined by mathematical modeling, which was highly consistent with the observations. This reinforces Collecting results from several students can be used to examine the reliability of this method, (and possibly measure the unreliability 57 SCIENCE EDUCATIONAL NEWS VOL 67 NO 3