Designing a Statistically Sound Sampling Plan
Designing a Statistically Sound Sampling Plan
Presented by: Steven Walfish President, Statistical Outsourcing Services steven@
Purpose and Objectives
z Objective:
z Define different types of sampling including random, stratified and composite.
z Create and justify your sampling plan.
z Account for sampling and measurement error.
z Determine the relationship between sample size, statistical power and statistical precision
z Sampling plans for attribute data.
Sampling Plans
z Decisions are often based on our analysis of a sample.
z How we conduct a sample is very important.
z Minimize bias z Representative sample z Sufficient size.
Sampling Plans
z Simple Random Sample
z Each sampling unit has an equal probability of being sampled with each selection.
z Can perform simple random sampling if:
z Enumerate every unit of the population
z Randomly select n of the numbers and the sample consists of the units with those IDs
z One way to do this is to use a random number table or random number generator
Sampling Plans
z Stratified Random Sampling:
z Population strata which may have a different distribution of variable.
z Strata must be known, non-overlapping and together they comprise the entire population.
z Examples: z Measuring Heights: Stratify on Gender
Strata are Male, Female
z Clinical study: stratify on stage of cancer z Measuring Income: Stratify on education or years of
experience
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- sampling methods for online surveys
- sampling procedure ncsu
- part 1 basic principles chapter 2 sampling methods
- chapter 10 respondents and sampling
- simple random sampling and systematic sampling
- examples of sampling methods
- exercise 6 selection of simple random sampling using
- basic sampling methods
- writing chapter 3 chapter 3 methodology
- mixed methods sampling a typology with examples