The Omission: Type Two Errors: Difference between revisions
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File:The Bad Bear Omens.jpg|link=The Bad Bear Omens|'''''[[The Bad Bear Omens]]''''' is a 1976 supernatural horror comedy film starring Walter Matthau, Tatum O'Neal, Lee Remick, and Gregory Peck. | File:The Bad Bear Omens.jpg|link=The Bad Bear Omens|'''''[[The Bad Bear Omens]]''''' is a 1976 supernatural horror comedy film starring Walter Matthau, Tatum O'Neal, Lee Remick, and Gregory Peck. | ||
File:The P-Value Man.jpg|link=The P-Value Man|'''''[[The P-Value Man]]''''' is a 1997 statistical mathematics drama film starring Tom Petty and David Brin. | |||
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* [[Gnomon Chronicles]] | * [[Gnomon Chronicles]] | ||
* ''[[The Bad Bear Omens]]'' | * ''[[The Bad Bear Omens]]'' | ||
* ''[[The P-Value Man]]'' | |||
== Nonfiction cross-reference == | == Nonfiction cross-reference == |
Revision as of 07:43, 20 March 2023
The Omission: Type Two Errors is a 1976 supernatural mathematics horror film about a series of violent deaths caused by Satan which go undetected due to Type II errors.
In the News
The Bad Bear Omens is a 1976 supernatural horror comedy film starring Walter Matthau, Tatum O'Neal, Lee Remick, and Gregory Peck.
The P-Value Man is a 1997 statistical mathematics drama film starring Tom Petty and David Brin.
Fiction cross-reference
Nonfiction cross-reference
External links
- [ Post] @ Twitter (20 March 2023)
- Type I and II errors @ Wikipedia
- How to Remember TYPE 1 and TYPE 2 Errors @ YouTube
- The Omen @ Wikipedia
- The Omen - trailer @ YouTube
Categories:
- Fiction (nonfiction)
- Crimes against mathematical constants
- Films
- 1970s (nonfiction)
- 1976 (nonfiction)
- Bruce Boa (nonfiction)
- Richard Donner (nonfiction)
- Films (nonfiction)
- Jerry Goldsmith (nonfiction)
- Horror (nonfiction)
- Gregory Peck (nonfiction)
- Lee Remick (nonfiction)
- Satan (nonfiction)
- David Seltzer (nonfiction)
- Supernatural (nonfiction)
- The Omen (nonfiction)
- The Omen (franchise) (nonfiction)
- David Warner (nonfiction)
- Billie Whitelaw (nonfiction)
- Mathematics (nonfiction)
- Statistics (nonfiction)