HLTC22H3 Lecture : march 13 lec.docx

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27 Apr 2012
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If have super extreme cases then would rather use median: eg income. Variance is a measure of spread/dispersion: how does our distribution vary from the mean. If take 10 points off of each number, the mean also goes down by 10: the variance stays the same. Variable is a way of characterizing our data: eg age. Covariance: eg how is age relating to whether someone got the flu this winter. Correlation: indicates strength and direction of linear relationship btw two variables. Smoking and lung capacity slide: each row represents a different person, these two variables co-vary in the opposite direction, the more you smoke the lower your lung capacity, slide with cross. Eg when smoking variable above the mean, lung capacity below the mean. Numerators for covariance and correlation are the same. Different temporal aspects when talking about how you would describe your health. How would you describe your health: poor, fair, good, very good, excellent (likert scale, exam question.

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