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

4.2: Analyzing Discrete Random Variables
https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/04%3A_Probability_Distributions/4.02%3A_Analyzing_Discrete_Random_Variables
In this section, we discuss methods of describing and analyzing discrete random variables.
2.1: Descriptive Statistics and Distributions
https://stats.libretexts.org/Courses/Fort_Hays_State_University/Elements_of_Statistics/02%3A_Descriptive_Statistics/2.01%3A_Descriptive_Statistics_and_Distributions
To get a firm grasp on a set of data generally requires several descriptive statistics and a method of visualization. Two very different data sets may have the same values for certain descriptive stat...To get a firm grasp on a set of data generally requires several descriptive statistics and a method of visualization. Two very different data sets may have the same values for certain descriptive statistics while differing for others. A good place to start is to see how the data is distributed. Frequency and relative frequency distributions are quite common and informative.

Search

Text Color

Text Size

Margin Size

Font Type

Support Center

How can we help?