SOC221H5 Lecture Notes - Lecture 6: Confidence Interval, Statistical Hypothesis Testing, Central Tendency
Document Summary
Quantification: conversion of info into a variable format. Can be done in the computer = heavily computer based. Des(cid:272)ripti(cid:448)e in nature (just telling us (cid:449)hat"s there) Frequency distribution: simple distribution, create smaller # of attributes by grouping tgt a wider range of attributes = for interpretation. Dispersion: range: the distance between the lowest + highest. Standard deviation: dispersion ard the mean. Continuous variable: can be measure continuously, eg) gender is not (no small increments between them; not order in a particular way) Maximize interpretability: divide groups according to attributes of the independent variable, each of these subgroups described by attributes, table is read by comparing the independent variable subgroups. Confusion in relationship when create a table with the total # & independent variable across. The values of dependent variable are contingent on the values of the independent variable. Tells you what the sample looks like. Data reduction: take large data into sth interpretable.
