Category:Odds - Revision history

Bosmana fem: /* Absolute Number */

2025-05-21T07:49:35Z

Absolute Number

← Older revision		Revision as of 07:49, 21 May 2025
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	[[File:Prob Vs Odds.png\|400px\|frameless\|Visual representation about the differences between probabilities and odds]]		[[File:Prob Vs Odds.png\|400px\|frameless\|Visual representation about the differences between probabilities and odds]]
			Visual representation about the differences between probabilities and odds

	Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.		Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.

Bosmana fem: /* Absolute Number */

2025-05-21T07:48:40Z

Absolute Number

← Older revision		Revision as of 07:48, 21 May 2025
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	[[File:Prob Vs Odds.png\|~~600px~~\|~~frame~~\|Visual representation about the differences between probabilities and odds]]		[[File:Prob Vs Odds.png\|400px\|frameless\|Visual representation about the differences between probabilities and odds]]

	Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.		Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.

Bosmana fem: /* Absolute Number */

2025-05-21T07:47:55Z

Absolute Number

← Older revision		Revision as of 07:47, 21 May 2025
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	𝐎𝐝𝐝𝐬 express the ratio of the event happening to the event not happening. For a 20% chance (probability of 0.2), the odds are 0.25 (i.e., the odds of having the disease is 0.25).		𝐎𝐝𝐝𝐬 express the ratio of the event happening to the event not happening. For a 20% chance (probability of 0.2), the odds are 0.25 (i.e., the odds of having the disease is 0.25).

	~~<gallery>~~
	Prob Vs Odds.png\| Visual representation about the differences between probabilities and odds		[[File:Prob Vs Odds.png\|600px\|frame\|Visual representation about the differences between probabilities and odds]]
	~~</gallery>~~

	Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.		Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.

Bosmana fem at 07:46, 21 May 2025

2025-05-21T07:46:43Z

← Older revision		Revision as of 07:46, 21 May 2025
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	Prob Vs Odds.png\| Visual representation about the differences between probabilities and odds		Prob Vs Odds.png\| Visual representation about the differences between probabilities and odds
	</gallery>		</gallery>

	~~[[File:Prob Vs Odds.png\|frame\|Visual representation about the differences between probabilities and odds]]~~

	Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.		Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.

Bosmana fem: /* Absolute Number */

2025-05-21T07:46:09Z

Absolute Number

← Older revision		Revision as of 07:46, 21 May 2025
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	</gallery>		</gallery>

			[[File:Prob Vs Odds.png\|frame\|Visual representation about the differences between probabilities and odds]]

	Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.		Odds is a probability measure that is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.

Ekukielka: Added a visual about the differences between probabilities and odds, as well as a text paragraph explaining these differences.

2025-05-20T08:00:41Z

Added a visual about the differences between probabilities and odds, as well as a text paragraph explaining these differences.

@@ Line 8: / Line 8: @@
 - P
-This probability measure is popular in the world of gambling. If we compute the number of people putting money on one horse winning and the number of people putting money on the horse not winning (i.e., putting money on other horses), we can compute the odds of winning. For example, among 3100 persons gambling on horses, 100 persons put money on horse "A" to win, and 3000 do not (they bet on other horses). The odds of winning are then 1/30 (100/3100 divided by 3000/3100 which can be simplified as 100/3000 or 1 / 30). In fact, in gambling, the odds of not winning are preferred and expressed as a ratio X/1. In our example, 30/1, or in words, "thirty to one". This means that for every Euro that you bet, you will receive 30 if you win.
 Since we illustrate the population under investigation in epidemiology with a two-by-two table, we will use a table to describe how to calculate odds. In the two-by-two table, the concept of exposure is also included. However, to calculate the odds of disease, it is not necessary to consider that in our population, some might have been exposed to a particular exposure and some not.

Bosmana fem: Bosmana fem moved page Odds to Category:Odds

2023-03-22T21:14:42Z

Bosmana fem moved page Odds to Category:Odds

← Older revision	Revision as of 21:14, 22 March 2023
(No difference)

Bosmana fem at 21:11, 22 March 2023

2023-03-22T21:11:05Z

← Older revision		Revision as of 21:11, 22 March 2023
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	* Lisa Lazareck		* Lisa Lazareck
	* Sabrina Bacci		* Sabrina Bacci


			[[Category:Measures of Disease Occurrence]]

Bosmana fem at 12:24, 19 December 2022

2022-12-19T12:24:45Z

@@ Line 86: / Line 86: @@
 |}
-Risk of disease =             50 / 1000                            =  0.05000
+Risk of disease =             50 / 1000                                                  =  0.05000
 Odds of disease             (50 / 1000) / 1 - (50/1000)            =  0.05263
@@ Line 94: / Line 94: @@
 =Credits=

Bosmana fem: /* Example 1 */

2022-12-19T12:22:49Z

Example 1

← Older revision		Revision as of 12:22, 19 December 2022
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	===Example 1===		===Example 1===
	{\| class="wikitable"		{\| class="wikitable"
	! Developing the disease !! Not developing the disease !! Total !!		! !! Developing the disease !! Not developing the disease !! Total
	\|-		\|-
	\| Exposed \|\| a \|\| b \|\| a+b		\| Exposed \|\| a \|\| b \|\| a+b