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A simple method of averaging results is to draw a straight line graph and determine its slope and intercept. Every 'point' plotted on the graph has two coordinates. Since each coordinate is obtained as a result of some measurement you've made, it'll have a corresponding "uncertainity". The scale chosen for the axes of the graph must be such that these uncertainities can be shown as an 'error bar' on the graph. Each 'point' in general have an error bar parallel to the x-axis and y-axis. The scales chosen for axes must show up the smallest error bar associated with the particular points. If the scale becomes too small, the error bars will shrink to points and the accuracy of the measurements will be wasted.

On the other hand, if the scale is too large, the error will be larger and the scattered points will make the graph confusing.

The importance of drawing a graph in an experiment is to give a geometric representation about a data set which was taken, which will be well clear than a table of data.

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12y ago
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Q: Why is plotting a graph important for laboratory?
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