EXAM 1
			REVIEW TOPICS

Describing data:
    Categorical and quantitative variables
    Distributions
    Symmetry and skewness, shape, center, and spread, outliers
    Bar graphs, pie charts, histograms, stemplots, and time plots
    When to use each one

    Mean, median, quartiles
    Five-number summary and boxplots
    Mean, standard deviation, variance
    Choosing appropriate measures of center and spread
    Resistance to outliers

Describing relationships
    Response and explanatory variables
    Scatterplots
    Relationships: form, direction, strength
    Correlation coefficient and regression line
    Interpretation and use of least squares line
    Residuals and the residual plot
    Outliers and influential observations
    Caveats about correlation and regression

    Categorical data: two-way tables, marginal distributions, conditional 
        distributions, Simpson's paradox