NESA Physics Analysing Data and Information
2 sample questions with marking guides and sample answers · Avg. score: 61.3%
Harriet and Tom were investigating how the speed, , of a falling object varied with the distance, , it had fallen.
They dropped a small steel ball, initially at rest, from the third floor of their school building. The speed of the ball was measured at six positions as it fell.
Air resistance can be ignored.
Which one of the following graphs of their data would be expected to result in a straight line through the origin?
versus
versus
versus
versus
Reveal Answer
versus
The kinematic equation for an object falling from rest is , meaning is proportional to . A graph of versus would result in a curve, not a straight line.
versus
Using the kinematic equation with an initial velocity of , we get . This shows that is directly proportional to , which produces a straight line through the origin.
versus
Based on the equation , is directly proportional to , not . Plotting versus would result in a quadratic curve.
versus
Since is proportional to , would be proportional to . Plotting versus would not produce a straight line.
Data can be described as precise when
it is the result of a careful investigation.
the experiment is repeated many times, and the results show little variation.
the same experimental methodology is used by different investigators.
it is close to the scientifically accepted value of the quantity being measured.
Reveal Answer
it is the result of a careful investigation.
While a careful investigation is important in science, it does not define precision, which specifically refers to the consistency of repeated measurements.
the experiment is repeated many times, and the results show little variation.
Precision refers to how close multiple measurements are to each other, meaning repeated trials will show very little variation.
the same experimental methodology is used by different investigators.
Having different investigators use the same methodology ensures standardization, but it does not guarantee that the resulting data will have low variance or high precision.
it is close to the scientifically accepted value of the quantity being measured.
Being close to the scientifically accepted or true value is the definition of accuracy, not precision.