|For a scatterplot||For a barchart|
|Choose x and y||Same!|
|Label x, y, and give a title||Same! (except x usually has no units)|
|Decide minimum and maximum values for x and y||Only for y — and include the error bars|
|Decide distance for ticks||Only for y|
|Make a legend||Same|
|Add data, using dots||Use rectangles, not dots|
Choosing between SD and SE
|Measures how far members of the population deviate from the average||Measures how far your estimate of the mean (from a sample) probably deviates from the population mean|
|Quantifies the population||Quantifies your experiment|
|Does NOT depend on sample size||DOES depend on sample size (a lot!)|
|Use to characterize the population||Use to test your results|
Now that you have worked through this module, you should be able to:
- Determine whether a bar chart or scatter plot is the best type of graph for the data you have.
- Construct a bar chart.
- Add error bars to a bar chart using either the standard deviation or standard error.
- Determine, which of the standard deviation or the standard error is a more appropriate measure to describe the variability in a particular circumstance.
If you want a printer-friendly version of this module, you can find it here in a Microsoft Word document. This printer-friendly version should be used only to review, as it does not contain any of the interactive material, and only a skeletal version of problems solved in the module.