Subsection 11.2 Summary of What You Have Learned in This Chapter
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Numerical and graphical summaries for describing the distribution of a quantitative variable
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Focus on shape, center, and variability of the distribution, and deviations from overall pattern
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Properties of numerical summaries (resistance)
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How to describe, measure, and interpret variability of a quantitative variable
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Identifying and considering potential explanations for outliers
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Stating hypotheses in terms of a population mean
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One-sample \(t\)-procedures
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When appropriate to apply; Why helpful
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How to interpret results
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Alternative approaches if not valid (e.g., data transformations)
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Factors that affect the significance of the comparison (e.g., sample size, sample variability)
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Prediction intervals
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