Unformatted text preview: itive and negative fluctuations in
successive measurements. Examples are a difference in readings by different
observers, or the fluctuations in equipment due to electrical noise.
You will be graded by your ability to obtain accurate results. Accuracy describes
how close your result is to the true value. Another related term is precision.
Precision describes how close your results from different trials are to each other.
Data of high precision indicates small random errors and leads experimenters to
have confidence in their results. Data that is highly accurate suggests that there is
little systematic error.
A well-designed experiment (and a well-trained
experimenter) should yield data that is both precise and accurate.
In an effort to describe and quantify the random errors which will occur during
the course of the Chemistry 2 laboratory you will be asked to report an average, a
standard deviation, a 90% confidence limit, and a relative deviation. You may
also have to analyze multiple trials to decide whether or not a certain piece of data...
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- Spring '07