Distinguish between measuring on a nominal scale versus a quantitative scale of measurement.
Explain why we are concerned about measuring variability in statistics.
Define variability, first just in descriptive terms (i.e., what varies from what).
Define variability in terms of how it is calculated (i.e., sums of squares, variance, and standard deviation)
Describe the characteristics of the mean.
Explain what the mean tells us about the data.
Describe the characteristics of the median.
Recognize a plausible versus an implausible value for the median and mean based on looking at a histogram.
Describe the characteristics of the standard deviation.
Explain what the standard deviation tells us about the data.
Define the independent and dependent variables in a study.
Describe two kinds of nuisance variables.
Distinguish between the possible problems that can be created by the two kinds of nuisance variables.
Define total variability, within group variability, and between group variability.
Explain how between and within group variability are related to the strength of evidence provided by data.
Define an IV (independent variable) effect.
Distinguish between variability due to an IV effect and random (or error) variability.