Questions after fifteen pages.1 attachmentsSlide 1 of 1
UNFORMATTED ATTACHMENT PREVIEW
Error Analysis Introduction: “Uncertainty is fundamental” No experimental result is ever exact. Why? Because no experimental procedure is ever perfect. We certainly do our best: • we use the best equipment (within our budget) • we control undesirable influences to the experiment (as best we can) • we take as many data points as we can (within reasonable time constraints) We hope our painstaking efforts minimize the uncertainty in our experimental results, but it can never be completely eliminated. I Every experimental result has an associated uncertainty. Types of analysis: Our analysis will fall into two broad categories: • • Basic Error Analysis (starts p. 2) Advanced Error Analysis (starts p. 4) We prefer to use “Advanced Error Analysis” whenever possible, to make more powerful statements about our results. This kind of analysis is what you will increasingly use as you advance into further scientific course work. However, it requires being able to quantify uncertainty- something we don’t always have the time (or expertise) to do. In that case, we’ll have to resort to “Basic Error Analysis”. These are basic feasibility checks only; they lack the power to make definitive conclusions. The lab activities each week will steer you into the error analysis mode(s) that are most appropriate for that given lab activity, given the constraints of the experimental set-up and length of the lab period. ii.) Error Analysis- p. 1 4 5.) Check the graphing scale: Make sure your data points take up most of the plotting area for maximum clarity; avoid data scrunched into one corner (see fig Sa). Excel is usually good at doing this automatically. If not, double-click on one/both axes as needed to open up the format axis dialogue (see fig Sb). Override the auto min/max values displayed with values that are more appropriate. Velocity vs. tine Vefocityvs.time 200 t—w—.,r-.io-ia.——+—-+—–1—.——1 111a—-��>–+-+——r—+—; i “‘ +—–ta,,—t ■ -� …….. ♦ � j ♦ 100 +—+—+-t—+– —+—–1-+——–1 ♦ ” +—+—+-t–+–+—-+—–1-+——–1 ♦ O-l—–+-t—+—-+—–1-+——–1 0 10 12 14 16 tim1(s] “‘460 ,–,–,–,—,—,—,–,–,–,—, +—+—+—+—+–+—+—+—+—+—-< _: t=-t=-t=i-=-=t=_j=�-:;-;::J��t==t_=:j i�r+ -=!=!=1=j=j=ti = �• ��1 t=t=:j ·s �250 +–+–+—-
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