MKT 3340 Lecture Notes - Lecture 33: Simple Random Sample, Nonprobability Sampling, Stratified Sampling
9 Sep 2016
School
Department
Course
Professor
Document Summary
The two sample size formulas you have learned only applicable when we have a representative sample. How we draw a sample, the sample plan, determine whether the sample is representative. There are two major types of sampling plans: probability and nonprobability sampling plans. A random sample is one in which every member of the population has an known probability, of being selected into the sample. Sample methods that embody random sampling are often termed probability sampling methods, because the chance of selection can be expressed as a probability: simple random sampling. With simple random sampling the probability of being selected into the sample is known and equal for all members of the population n (sample)/n (population) May use a table of random numbers: a listing of numbers whose nonsystematic (or random) order. Variation of random digit dialing is plus one dialing. Using the xl data analyst to generate random numbers.
