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  1. Standard Deviation (SD): Measures how spread out data points are from the mean.
    Ex: High SD = scattered data; low SD = points close to mean. Formula: `sqrt(Variance)`.
    Pro-Tip: Small SD is often desired in engineering for consistency & quality!
    #StatsBasics #DataAnalysis #STEM #StudyNotes

  2. Alright, future engineers!
    **Skewness:** Measures the asymmetry of a probability distribution.
    Ex: Right skew = long tail on the right (mean > median).
    Pro-Tip: Reveals if data leans one way, crucial for choosing the right average (mean vs. median)!
    #DataAnalysis #StatsBasics #STEM #StudyNotes

  3. **Normal Distribution:** A bell-shaped curve showing how data clusters around the mean.
    Ex: Natural phenomena (heights, errors). Z-score: `(X - mean) / SD`.
    Pro-Tip: Key for inferential stats! `+/- 1 SD` contains ~68% of data.
    #StatsBasics #Probability #STEM #StudyNotes