June 21
Nice class assignment gang. I especially liked how you began to argue through the "Grey" area, noticing how certain variables can be measured on multiple levels depending upon the researcher. The main topics covered in class were,
1) Classifications of variables/ statistics (parametric, inferential, continuous vs. nonparametric, descriptive, categorical)
2) Frequency distribution
3) Measures of central tendency
4) Graphic distribution of data
5) Standard deviation & Variance
6) The normal curve (central limit theorem)
7) CORRELATION
In class, I made the comment that in order to conduct a correlation, we need two continuous variables. Think through this idea, and explain in your own words why this must be so.
1) Classifications of variables/ statistics (parametric, inferential, continuous vs. nonparametric, descriptive, categorical)
2) Frequency distribution
3) Measures of central tendency
4) Graphic distribution of data
5) Standard deviation & Variance
6) The normal curve (central limit theorem)
7) CORRELATION
In class, I made the comment that in order to conduct a correlation, we need two continuous variables. Think through this idea, and explain in your own words why this must be so.
posted by Dr. Jeffrey Bolt at 3:02 PM
1 Comments:
It would not be possible to find correlations if one or both variables were not continuous. This would mean that one variable was static, while the other variable changed. No matter what happened to "variable A", "variable B" would remain the same. This does not create a consistent pattern, which is necessary for a correlation. If one variable is not continuous, you cannot rule that one causes the other. (Emily Casane)
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