Skip to main content

Univariate Statistical Analysis

  • Chapter
  • First Online:
Basic Elements of Computational Statistics

Part of the book series: Statistics and Computing ((SCO))

  • 3681 Accesses

Abstract

This chapter presents basic statistical methods used in describing and analysing univariate data in R. It covers the topics of descriptive and inferential statistics of univariate data, which are mostly treated in introductory courses in Statistics.

It is a capital mistake to theorise before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

— Sir Arthur Conan Doyle

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wolfgang Karl Härdle .

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Härdle, W.K., Okhrin, O., Okhrin, Y. (2017). Univariate Statistical Analysis. In: Basic Elements of Computational Statistics. Statistics and Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-55336-8_5

Download citation

Publish with us

Policies and ethics