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Lab Write‐up Guide for IB Physics Always include the following ...

Lab Write‐up Guide for IB Physics Always include the following ...

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Processing raw data: You will manipulate your data through various calculations or graphing activities in most labs.<br />

Indicate how you did calculations by including at least one sample <strong>for</strong> each type. Graphs must <strong>include</strong> descriptive<br />

titles, units, be in proper scale and should be ei<strong>the</strong>r hand drawn or be from a graphing program as I indicate ahead<br />

of time. Usually <strong>the</strong> independent variable goes on <strong>the</strong> x axis. Only specific types of computer graphs are allowed and I<br />

will let you know when <strong>the</strong>y are appropriate. If you don’t know – DO ANY GRAPHS BY HAND ON PAPER! Suitable bestfit<br />

lines or curves are an essential way to show that uncertainties have been taken into account. Uncertainties in any<br />

data also need to be propagated through calculations.<br />

CONCLUSION AND EVALUATION<br />

a. Conclusion: Explain what <strong>the</strong> results tell you. What is <strong>the</strong> answer to your problem Restate <strong>the</strong> hypo<strong>the</strong>sis<br />

and compare your conclusion to it. How reliable are your results You must take into account any systematic or<br />

random errors and uncertainties. Do <strong>the</strong> data follow current scientific trends, or were <strong>the</strong>re errors that leave your<br />

conclusion questionable Evaluate and explain your results; this will lead straight into <strong>the</strong> evaluation, if you<br />

encountered many difficulties. Compare your results/values with <strong>the</strong> literature. Calculate <strong>the</strong> percentage difference<br />

between <strong>the</strong> measured value and <strong>the</strong> literature value. Use citations when you read o<strong>the</strong>r sources and <strong>include</strong>d <strong>the</strong>ir<br />

ideas.<br />

b. Evaluation: What weaknesses were <strong>the</strong>re in <strong>the</strong> design and method of your investigation How reliable and<br />

true are your data Were <strong>the</strong> measurements accurate (close to <strong>the</strong> true values) and precise (close to each o<strong>the</strong>r)<br />

Discuss any difficulties. The impact of errors and suggestions <strong>for</strong> improvement should also be <strong>include</strong>d. How could you<br />

have per<strong>for</strong>med this lab better<br />

What use is doing this lab and how might <strong>the</strong> data be used Are <strong>the</strong>re fur<strong>the</strong>r experiments that can be per<strong>for</strong>med or<br />

did <strong>the</strong> data suggest o<strong>the</strong>r avenues to explore What anomalies were <strong>the</strong>re and where were <strong>the</strong> errors How did those<br />

affect <strong>the</strong> data Use <strong>the</strong> <strong>following</strong> table to help you describe those errors and how to fix <strong>the</strong>m:<br />

The error or problem<br />

encountered<br />

Heat energy from <strong>the</strong><br />

reaction was lost to <strong>the</strong><br />

surroundings<br />

How that error affected <strong>the</strong><br />

data<br />

The maximum temperature<br />

recorded was lower than it<br />

should have been<br />

A suggestion <strong>for</strong><br />

improvement<br />

Insulate <strong>the</strong> reaction vessel;<br />

use a polystyrene cup + lid<br />

instead of a glass beaker<br />

Note: do not say “Measurements could have been more accurate…” or “<strong>the</strong>re was error in measurement.” Or “we<br />

could have worked harder/paid more attention.” Those are not valid evaluation statements and you are just wasting<br />

paper.<br />

Some things to avoid:<br />

‐ having a hypo<strong>the</strong>sis, procedure, & conclusion about different things. These 3 parts should be consistent<br />

‐ not recording data: if in doubt – record it. You should not <strong>include</strong> those values that are outliers.<br />

‐ taking too small a number of samples or trials. The more, <strong>the</strong> better.<br />

‐ recording data that did not occur.<br />

‐ beginning to work on <strong>the</strong> lab procedure and data table or <strong>the</strong> write‐up <strong>the</strong> day be<strong>for</strong>e it is due.<br />

‐ working too closely with your lab group. Even if <strong>the</strong>re is a suspicion of copying or use of same material,<br />

you will both noted has having committed malpractice and administration will be in<strong>for</strong>med.<br />

A checklist to make sure you have everything:<br />

· Are <strong>the</strong> independent and dependent variables clearly and correctly identified<br />

· Is <strong>the</strong> hypo<strong>the</strong>sis testable Is it suggesting an answer to <strong>the</strong> aim or question of <strong>the</strong> activity<br />

· Are <strong>the</strong>re appropriate strategies to control o<strong>the</strong>r variables that might affect your results<br />

· Is <strong>the</strong>re a clear easy‐to‐follow, step‐by‐step procedure outlined that someone else could follow<br />

· Does <strong>the</strong> experiment actually test whe<strong>the</strong>r <strong>the</strong> hypo<strong>the</strong>sis is supported or disproved<br />

· Have you got title and column units in your data table Included MOE in each column<br />

· Did you show how you did any calculations Included units in all equations and work<br />

· Did you use an appropriate system of data analysis (right sort of graph)<br />

· Did you propagate uncertainties through your calculations<br />

· Do your graphs have descriptive titles and units on <strong>the</strong> axis Did you draw a line of best‐fit<br />

· Does <strong>the</strong> conclusion accurately reflect <strong>the</strong> data<br />

· Are your procedural modifications fully and accurately discussed<br />

· Have you noted sources of error and how to fix those problems<br />

· Are anomalous results identified and explained in a reasonable manner

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