Error bars on a graph visually represent the variability or uncertainty of data points. They indicate the range within which the true values are expected to lie, helping to assess the reliability of the measurements. By providing a clear depiction of potential error, they allow viewers to evaluate the significance of differences between groups or conditions. Overall, error bars enhance the interpretability of data by highlighting the precision of the reported values.
Either a bar graph or circle graph. A lot of other graphs would work such as pictographs, but those two serve the purpose well.
You can definitely use a table or graph to what your findings. You can use a bar graph for this purpose for example.
To visually display information.
You could try drawing a vertical line as far from the points as you can get - though why you would want to do that defeats me.
In a circle graph it is easier to see shares of the total than in other kinds of graphs.
Either a bar graph or circle graph. A lot of other graphs would work such as pictographs, but those two serve the purpose well.
A graph whose purpose is inexplicable!
The main purpose of a line graph is to show changes and patterns in the changes
its a guideline
It can be - depends on the purpose.
You can definitely use a table or graph to what your findings. You can use a bar graph for this purpose for example.
To visually display information.
because
The best graph for the purpose of comparing raw numbers between different qualitative categories would be a bar graph or some variation thereof.
To compute the standard error in refractive index from a graph, calculate the standard deviation of the data points and divide it by the square root of the sample size. This will give you the standard error in your refractive index measurement.
Any graph can be used for such a purpose.
You could try drawing a vertical line as far from the points as you can get - though why you would want to do that defeats me.