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Exherpts from lectures at Xang University
From a physics lecture by Prof. Trowlpants:
...at any rate, whatever that sorry bastard may have said, today, my dear bloodsuckers, we will be learning about the importance of quality analysis of experimental data. Only a worthless hack, like Mr. Eo there, will include the full four hundred pages of data he gets from an experiment in his lab report. Especially when it's obvious that the line it makes on a graph isn't even close to being straight. It is at times like this that it is quite important to ignore conflicting data that was obviously caused by either an imprecise experiment or a half-assed execution of a good experiment, Mr. Eo.
Either way, some out of the bad way data just had to go. Take for example Prof. Twiddlebum's famous experiment with the number twelve. His, now well-accepted, thesis was what the number twelve can broken down to it's fundamental multipliers: the numbers from one to six, inclusively. To support this thesis Jeffrey Twiddlebum devised an experiment, in which he wrote out the various numbers that were in fact multipliers of the number twelve.
In his experiment, he and many, thought not all, who repeated his experiment made a crucial mistake and ended up only with the numbers one, two, three, four and six. Prof. Twiddlebum, however, being a well versed physicist, recognized that the lack of a five was a simple experimental error, and the fact that if you were to ignore this erroneous data the graph makes a nice straight line, convinced the good professor and his colleagues that the thesis was consistent with experimentation. It is thanks to this important discovery that our advanced science of today exists.
Of course, Prof. Twiddlebum was a damn bastard who stole my cupcake and wife, but the point remains. Quality assessment of data is very important.
...at any rate, whatever that sorry bastard may have said, today, my dear bloodsuckers, we will be learning about the importance of quality analysis of experimental data. Only a worthless hack, like Mr. Eo there, will include the full four hundred pages of data he gets from an experiment in his lab report. Especially when it's obvious that the line it makes on a graph isn't even close to being straight. It is at times like this that it is quite important to ignore conflicting data that was obviously caused by either an imprecise experiment or a half-assed execution of a good experiment, Mr. Eo.
Either way, some out of the bad way data just had to go. Take for example Prof. Twiddlebum's famous experiment with the number twelve. His, now well-accepted, thesis was what the number twelve can broken down to it's fundamental multipliers: the numbers from one to six, inclusively. To support this thesis Jeffrey Twiddlebum devised an experiment, in which he wrote out the various numbers that were in fact multipliers of the number twelve.
In his experiment, he and many, thought not all, who repeated his experiment made a crucial mistake and ended up only with the numbers one, two, three, four and six. Prof. Twiddlebum, however, being a well versed physicist, recognized that the lack of a five was a simple experimental error, and the fact that if you were to ignore this erroneous data the graph makes a nice straight line, convinced the good professor and his colleagues that the thesis was consistent with experimentation. It is thanks to this important discovery that our advanced science of today exists.
Of course, Prof. Twiddlebum was a damn bastard who stole my cupcake and wife, but the point remains. Quality assessment of data is very important.
lol