Flash FeedStatistics · General · Discrete Random Variables
Statistics: Discrete Random Variables flashcards
Binomial, geometric and Poisson variables, expected value and the law of large numbers.. 23 cards to learn: tap one to flip it.
The cards
Where this deck sits in the curriculum
- Course
- Statistics
- Level
- General
- Unit
- Discrete Random Variables (opens in a new tab)
- SCED code
- 02201
- Textbook
- Statistics
The course and its code come from SCED, the US federal list of school courses. The unit is a chapter of a free OpenStax textbook. Flash Feed is not affiliated with either.
How this deck was checked
On 2026-11-05, every card was compared with a primary source and with a second source from a different publisher. The comparison was done automatically, not by a teacher, so a card can still be wrong. Flash Feed is not affiliated with any source named here.
Sources
Total: 10 · primary: 1 · second publisher: 9
- Primary source Statistics, chapter 4 Key Terms (opens in a new tab) (OpenStax, Rice University, openstax.org)
- Second source Wikipedia: Binomial distribution (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source Wikipedia: Notation in probability and statistics (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
Show the other sources (7)
- Second source Wikipedia: Bernoulli trial (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source NIST/SEMATECH e-Handbook: 1.3.6.6.18 Binomial Distribution (opens in a new tab) (NIST, itl.nist.gov)
- Second source Wikipedia: Expected value (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source Wikipedia: Geometric distribution (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source Wikipedia: Hypergeometric distribution (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source Wikipedia: Poisson distribution (opens in a new tab) (Wikimedia Foundation, en.wikipedia.org)
- Second source NIST/SEMATECH e-Handbook: 1.3.6.6.19 Poisson Distribution (opens in a new tab) (NIST, itl.nist.gov)
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