Health Sciences 3801A/B Lecture Notes - Lecture 1: Categorical Variable, Squared Deviations From The Mean, Quartile
12 Apr 2021
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Ordinal data vs. interval data: might be able to treat ordinal as interval if, you are aggregating multiple items, the underlying construct is continuous, the measurement instrument is reliable. Think before you collect: still common to see continuous variables (e. g. , age) collected as categorical variables, produces a number of problems. Stats lecture 1 notes summarizing data: categories are often arbitrary, results in a significant loss of information, presents fewer analytic choices, both descriptive and inferential, think about your analysis before you collect! Central tendency: mean, the arithmetic average of the data, median, the point that divides the data in half, 50th percentile, mode, the most frequently occurring value. Mean: total all the results and divide by the number of units, or n, of the sample. Median: the exact middle score in a dataset, list all scores in numerical order, and then locate the score in the center of the sample, the middle number is always: (n+1) / 2.
