descriptive and inferential statistics
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This job explains descriptive and inferential statistics.
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a. What are the similarities between descriptive and inferential statistics? What are the differences? When should descriptive and inferential statistics be used?
Both descriptive and inferential statistics are a way for you to take raw data and convert it into meaningful information. They both have the user perform a mathematical computation and come up with meaningful information.
However, descriptive stats is just a way to summarize or describe data. For example, you can find the average of the data, or tell us the most popular value. That is as far as you can go with descriptive stats.
Inferential stats on the other hand you can actually made decisions about your data. You perform tests such as t-test, or ANOVAs and make conclusions about your data. You can see if two groups are statistically different with inferential stats.
b. What are the similarities between single-case and small-N research designs? What are the differences? When should single-case and small-N research designs be used?
In both single and small N research you are using qualitative research methodologies, since you have a small sample size in both groups. Both groups provide rich descriptive data, that is in-depth in nature.
However, in a single case, you are looking at one person to base your study on. Since they are the only individual your are looking at, you can report fully back from this person.
In a small n research you are looking at a slightly larger ...
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