Skip to main content

Random Sampling

  • Chapter
Workshop Statistics

Part of the book series: The Workshop Mathematics Project ((TIMS))

  • 408 Accesses

Overview

To this point in the text, you have been analyzing data using exploratory methods. With this topic you will take a conceptual step backward by considering questions of how to collect data in the first place. The practice of statistics begins not after the data have been collected but prior to their collection. You will find that utilizing proper data collection strategies is critical to being able to draw meaningful conclusions from the data once it has been collected and analyzed. You will also discover that randomness plays an important role in data collection.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer Science+Business Media New York

About this chapter

Cite this chapter

Rossman, A.J., Chance, B.L. (1998). Random Sampling. In: Workshop Statistics. The Workshop Mathematics Project. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2926-9_12

Download citation

  • DOI: https://doi.org/10.1007/978-1-4757-2926-9_12

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-98411-7

  • Online ISBN: 978-1-4757-2926-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics