Search

Loading [MathJax]/extensions/mml2jax.js

Filter Results
Location
- Campus Bookshelves (2)
Classification
- Article type
  - Book or Unit
  - Chapter
  - Section or Page
  - N/A
  - N/A
- Author
  - David Lane
  - Alexander Aue
  - John H. McDonald
  - OpenStax
  - OpenIntro Statistics
  - Debashis Paul
  - Larry Green
  - Diane Kiernan
  - Alexey Shipunov
  - Peter Kaslik
  - Kathryn Kozak
  - David Lilja
  - Kristin Kuter
  - Foster et al.
  - Jenkins-Smith et al.
  - Grinstead & Snell
  - Russell A. Poldrack
  - Thomas K. Tiemann
  - Danielle Navarro
  - Jonathan A. Poritz
  - Kyle Siegrist
  - Paul Pfeiffer
  - Matthew J. C. Crump
  - Michelle Oja
  - Rachel Webb
  - Alex Reinhart
  - Maurice A. Geraghty
  - Anonymous
  - Erich C Fein, John Gilmour, Tayna Machin, and Liam Hendry
  - Gordon E. Sarty
  - Penn State's Department of Statistics
  - Mark Greenwood
  - Yang Lydia Yang
  - Bill Pelz
  - Valerie Watts
  - Nancy Ikeda
  - Linda R. Cote, Rupa G. Gordon, Chrislyn E. Randell, Judy Schmitt, and Helena Marvin
  - Klaire Somoray
  - Hannah Seidler-Wright
  - Michael R Dohm
  - Christina R. Peter
  - Lumen Learning
  - Roger Clark
  - Mikaila Mariel Lemonik Arthur
  - Mikaila Mariel Lemonik Arthur and Roger Clark
  - Yvonne Anthony
  - Jaeyong Choi
- Cover Page
  - yes
  - TOC Only
  - Compile but don't publish
- License
  - Public Domain
  - CC BY
  - CC BY-SA
  - CC BY-NC-SA
  - CC BY-ND
  - CC BY-NC-ND
  - GNU GPL
  - All Rights Reserved
  - CC BY-NC
  - GNU FDL
- Show TOC
  - yes
  - no
- Embed Jupyter
  - python
  - octave
  - r
  - sagemath
- Transcluded
  - yes
- OER program or Publisher
  - College of the Canyons - Zero Textbook Cost Program
  - ASCCC OERI Program
  - CK-12
  - OpenStax
  - GALILEO
  - OpenSUNY
  - MIT OpenCourseWare
  - Virginia Tech Libraries' Open Education Initiative
  - The Publisher Who Must Not Be Named
  - eCampusOntario
  - WAC Clearinghouse
  - BC Campus
  - Lumen
  - Open Oregon
  - OpenStax CNX
  - PDXOpen
  - Evergreen Valley College
- Autonumber Section Headings
  - title with space delimiters
  - title with colon delimiters
  - title with dash delimiters
- License Version
  - 1.0
  - 1.3
  - 2.0
  - 2.5
  - 3.0
  - 4.0
Include attachments
- Content Type
  - Document
  - Image
  - Other

1.2.1: Levels of Measurement
https://stats.libretexts.org/Courses/Las_Positas_College/Math_40%3A_Statistics_and_Probability/01%3A_The_Nature_of_Statistics/1.02%3A_Variables_and_Types_of_Data/1.2.01%3A_Levels_of_Measurement
Some calculations generate numbers that are artificially precise. It is not necessary to report a value to eight decimal places when the measures that generated that value were only accurate to the ne...Some calculations generate numbers that are artificially precise. It is not necessary to report a value to eight decimal places when the measures that generated that value were only accurate to the nearest tenth. Round off your final answer to one more decimal place than was present in the original data. This means that if you have data measured to the nearest tenth of a unit, report the final statistic to the nearest hundredth.
2.1: Organizing Data - Frequency Distributions
https://stats.libretexts.org/Courses/Las_Positas_College/Math_40%3A_Statistics_and_Probability/02%3A_Frequency_Distributions_and_Graphs/2.04%3A_Frequency_Distributions
Some calculations generate numbers that are artificially precise. It is not necessary to report a value to eight decimal places when the measures that generated that value were only accurate to the ne...Some calculations generate numbers that are artificially precise. It is not necessary to report a value to eight decimal places when the measures that generated that value were only accurate to the nearest tenth. Round off your final answer to one more decimal place than was present in the original data. This means that if you have data measured to the nearest tenth of a unit, report the final statistic to the nearest hundredth.

Search

Text Color

Text Size

Margin Size

Font Type

Support Center

How can we help?