HLTH 240b Lecture Notes - Lecture 5: Nonparametric Statistics, Statistical Inference, Descriptive Statistics

• School: Yale University
• Department: Global Health Studies
• Course: HLTH 240b
• Professor: Marney White

Document Summary

Branches of statistics: descriptive statistics, organize, summarize, communicate numerical info. Inferential statistics: use samples to draw conclusions about a population. Distinguish between sample and population: population of world, population of yale, random sample: all members of population have equal chance of being included in the sample. Increasing levels of info: nonparametric (qualitative data, nominal: category or name. Name of cookies: ordinal: ranking of data. Ranking of favorite cookies: parametric (quantitative data) Interval: used with numbers that are equally spaced. Temperature cookies: ratio: like interval, but has a meaningful zero. How many cookies are left: nonparametric statistics may be used to analyze interval and ratio data. Independent: manipulate or categorize this: dependent: measure this; depends on independent variable, confounding, try to control of randomize away, confounds your other measures. Shapes of distributions: normal distribution: specific frequency distribution, bell shaped, symmetrical, unimodal. Central tendency: mode, nominal, ordinal (possibly median, mean, ratio. Interval: depends (likely median, skewed (has outlier)