{TLE: The assumptions about the thin lens equation includes, 1. Lens being thin, and 2. The light rays staying close to the axis of the lens, i.e. sin x can be approximated by x, for x being the angle between a light ray and the lens axis. Assumption 2 is essential for having sharp images using spherically carved lenses or mirrors.}
{VH: Vague explanation of hypothesis. For example, in lab 2, say you want to check thin lens equation. Your hypothesis can be that f in the formula only depends on the lens. Then you take as many data points as possible for all the lenses you have and try to show evidence using data. Also you need to consider the largest dynamic range, i.e. changing object distance as much as possible in doing the experiment. Always maximize the dynamic range and try to get as much information as possible from your setup.}
{VC: Vague conclusion. Try to systematically show that the conclusion holds. For example, if you got three different focal lengths with uncertainties, but comparing the standard deviation of focal length values to the error of each value you can decide if their difference is statistically significant or not. So up to an uncertainty which you are giving you are showing evidence that your hypothesis holds.}
{IDU: The image distance uncertainty might need repeating trials by different members of the team. Because deciding on where the image becomes the most sharply focused might have uncertainties bigger than 0.1 cm. One better not know the result of the team member when doing the experiment themself.}
{U: Units are missing or use units more often. I know sometimes it is too redundant to put units everywhere, but you need to use units more often. At least use them on the finishing point.}
{H: How did you get these values? The source of any numerical value you are reporting must be clear. Usually in our lab it is either based on a measurement or a calculation. Be more clear about where a value comes from.}
{NIU: You must not use max(random, instrumental) for the uncertainty for a value you are not measuring directly. For example, focal length which is calculated here does not have 0.1 cm instrumental uncertainty.}
{ORC: No calculation for the range of the object distance for the camera.}
{CE: Both camera and eye, focus on objects at distance ranges from infinity to the near point. In camera you move the screen relative to lens when the object distance changes, but the eye changes the focal length.}
{MMP: There is no predictions for magnifier magnification.}
{MME: There is no experimental estimation of the magnification of the magnifier.}
{T: Use tables to report the measurements.}
{N: A page, figure, table, or ... missing numbers.}
{C: A figure, table, or ... is missing caption.}
{NU: No uncertainty given for a reported value.}
{LSF: The least significant figures for a value and its uncertainty must match. For example, you cannot only use 36 cm with instrumental uncertainty of 0.05 cm. It means at all your measurement you got exactly 36.00 or 45.00. That is really unlikely or you have a larger uncertainty that 0.05 cm.}
{TM: Too many significant figures used for the uncertainty. Use one or at most two. If you use one, you can easily estimate the uncertainty calculations in your head.}
{V: Vague and non-scientific use of language. Use more specific statements. For example, "human error" does not mean much. The question is to find where the error or source of uncertainty can be. Saying "human error" is almost as bad as saying "somewhere". As a rule of thumb, if you cannot imagine how one can test something that you are saying, try to think more.}
{NM: When the values which must match, doesn't, explore to see where you went wrong. Repeat the experiment. Ask your partner to repeat the experiment or calculations. This is the essential part of science. Usually you do mistakes first time experimenting or measuring. How you think and find the mistakes (like how to debug the code) is usually the most crucial part.}