SOCSCI 2J03 Lecture Notes - Lecture 1: Simple Random Sample, Statistical Classification, Apple Inc.

• School: McMaster University
• Department: Social Sciences
• Course: SOCSCI 2J03
• Professor: Dr. Tahir

Document Summary

Constant: opposite of variable as it does not change. Variables: height of a bridge, quantitative, time to complete a 5k run, continuous, letter grade in a class, categorical, hours worked in one week, continuous, type of pets owned (cat, dog, etc. , categorical, flower, categorical. Random/probability: representative of the population, 4 types, simple random sample. Each sample of the same size has the same probability of being selected: systematic random sampling. First randomly select one member from the first k units of the list of elements arranged based on a given characteristic where k is the number obtained by dividing the population size by thee intended sample size. K = n/n: stratified random sample. Divide population into two or more subgroups according to some common characteristic. Simple random sample is selected from each subgroup, with sample sizes proportional to strata sizes: cluster sampling. The whole population is first divided into groups. Non-random/non-probability: non-representative of the population, 2 types, convenience.