1 / 11

Business and Economic Statistics : Stratified and Clustered Sampling

Business and Economic Statistics : Stratified and Clustered Sampling. Presenter: Sam Capurso. Objectives. Be able to explain and apply the following concepts: Stratified Sampling Clustered Sampling Give examples of strata and clusters

oona
Download Presentation

Business and Economic Statistics : Stratified and Clustered Sampling

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Business and Economic Statistics:Stratified and Clustered Sampling Presenter: Sam Capurso

  2. Objectives • Be able to explain and apply the • following concepts: • Stratified Sampling • Clustered Sampling • Give examples of strata and clusters • Explain why you would use Stratified Sampling and Clustered Sampling

  3. Use this as... • A refresher • Or • To resolve any knowledge gaps you have

  4. Stratified Sampling • Split the population into groups (strata) whereby: • Each stratum is the same within • Each stratum is different between • Take a SRS from each stratum • Be careful! You can’t have more than one of the same strata Strata Different characteristics

  5. Clustered Sampling • Select or construct groups (clusters) whereby: • Each cluster is roughly the same as the others • The clusters are representative of the entire population • Randomly select clusters and then take a census of these • Be careful! CS is not SRS! Clusters Random Selection

  6. Application • What are some examples of strata? • What are some examples of clusters? • Scenario: You want to survey nurses in Australian hospitals to ask their attitudes towards their work conditions and pay

  7. Why conducted Stratified Sampling? • You have reason to believe that people of a similar characteristic will respond in a particular way • You want to reduce variability in the samples • You want to reflect proportions of groups in the population ?

  8. Why conducted Clustered Sampling? • Reduce costs • Convenience (not convenience sampling!) • Practicality $

  9. Summary End

  10. Please note_(this was shown before the presentation) • As you know, I am currently undertaking a Certificate IV in Training and Assessment at TAFE SA • This presentation is being recorded, and will be submitted for assessment

  11. Terminology_slide 4 (for assessor only) • Stratum & strata • Clustered • Sampling • Census • Population • Simple Random • Sample (SRS) • Stratified • Sampling New terms in bold

More Related