STAT 124 Lecture Notes - Lecture 1: Exploratory Data Analysis, Sampling Bias, Music Genre

• School: UBC Okanagan, UBC OK
• Department: Statistics
• Course: STAT 124
• Professor: Gill Paramjit

Document Summary

Is the science of learning from numerical facts called data: statistics helps us to understand the real, imperfect world in which we live, the first step in dealing with data is to organize your thinking about the data. Is the process of using statistical tools and ideas to examine data in order to describe their main features. Types of variables: all variables, numerical continuous discrete, categorical regular categorical ordinal. Examples: types of variables: gender: categorical, distance to school: numerical, continuous, phone bill: numerical, continuous, phone brand: categorical. It (cid:449)as (cid:272)o(cid:374)(cid:272)luded that (cid:862)s(cid:373)oki(cid:374)g is a (cid:272)o(cid:373)ple(cid:454) hu(cid:373)a(cid:374) (cid:271)eha(cid:448)io(cid:396), (cid:271)(cid:455) its (cid:374)atu(cid:396)e diffi(cid:272)ult to stud(cid:455), (cid:272)o(cid:374)fou(cid:374)ded (cid:271)(cid:455) hu(cid:373)a(cid:374) (cid:448)a(cid:396)ia(cid:271)ilit(cid:455)(cid:863) In time researchers were able to examine larger samples of cases (smokers), and trends showing that smoking has negative impacts became much clearer. Population and sample: the distinction between population and sample is basic to statistics, to make sense of any sample result, you must know what population the sample represents, the population.