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Odds against given Probability of Success Formula

GoOdds against Formula

GoOdds against given Odds in Favor Formula

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Odds Against is the ratio of the number of unfavorable outcomes (losing) to the number of favorable outcomes (winning). Check FAQs

O A = \frac{1 - p BD}{p BD}

O_A - Odds Against?p_BD - Probability of Success in Binomial Distribution?

Odds against given Probability of Success Example

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Here is how the Odds against given Probability of Success equation looks like with Values.

Here is how the Odds against given Probability of Success equation looks like with Units.

Here is how the Odds against given Probability of Success equation looks like.

0.6667 = \frac{1 - 0.6}{0.6}

0.6667 = \frac{1 - 0.6}{0.6}

0.6667 = \frac{1 - 0.6}{0.6}

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Odds against given Probability of Success Solution

Follow our step by step solution on how to calculate Odds against given Probability of Success?

FIRST Step Consider the formula

O A = \frac{1 - p BD}{p BD}

Next Step Substitute values of Variables

∴

O A = \frac{1 - 0.6}{0.6}

Next Step Prepare to Evaluate

∴

O A = \frac{1 - 0.6}{0.6}

Next Step Evaluate

∴

O A = 0.666666666666667

LAST Step Rounding Answer

∴

O A = 0.6667

Odds against given Probability of Success Formula Elements

Variables

Odds Against

Odds Against is the ratio of the number of unfavorable outcomes (losing) to the number of favorable outcomes (winning).

Symbol: O_A

Measurement: NAUnit: Unitless

Note: Value should be greater than 0.

Formulas to find Odds Against

Probability of Success in Binomial Distribution

Probability of Success in Binomial Distribution is the likelihood of winning an event.

Symbol: p_BD

Measurement: NAUnit: Unitless

Note: Value should be between 0 to 1.

Formulas to find Probability of Success in Binomial Distribution

Other Formulas to find Odds Against

Go Odds against

O A = \frac{n L}{n W}

Go Odds against given Odds in Favor

O A = \frac{1}{O F}

Go Odds against given Probability of Failure

O A = \frac{q}{1 - q}

Go Odds against given Probability of Success and Failure

O A = \frac{q}{p BD}

Other formulas in Odds Probability category

Go Probability of Success given Odds in Favor

p BD = \frac{O F}{O F + 1}

Go Odds in Favor given Probability of Failure

O F = \frac{1 - q}{q}

Go Odds in Favor given Probability of Success

O F = \frac{p BD}{1 - p BD}

Go Probability of Failure given Odds in Favor

q = \frac{1}{O F + 1}

How to Evaluate Odds against given Probability of Success?

Odds against given Probability of Success evaluator uses Odds Against = (1-Probability of Success in Binomial Distribution)/Probability of Success in Binomial Distribution to evaluate the Odds Against, The Odds against given Probability of Success formula is defined as the ratio of the number of unfavorable outcomes (losing) to the number of favorable outcomes (winning), calculated using probability of success. Odds Against is denoted by O_A symbol.

How to evaluate Odds against given Probability of Success using this online evaluator? To use this online evaluator for Odds against given Probability of Success, enter Probability of Success in Binomial Distribution (p_BD) and hit the calculate button.

FAQs on Odds against given Probability of Success

What is the formula to find Odds against given Probability of Success?

The formula of Odds against given Probability of Success is expressed as Odds Against = (1-Probability of Success in Binomial Distribution)/Probability of Success in Binomial Distribution. Here is an example- 1.5 = (1-0.6)/0.6.

How to calculate Odds against given Probability of Success?

With Probability of Success in Binomial Distribution (p_BD) we can find Odds against given Probability of Success using the formula - Odds Against = (1-Probability of Success in Binomial Distribution)/Probability of Success in Binomial Distribution.

What are the other ways to Calculate Odds Against?

Here are the different ways to Calculate Odds Against-

Odds Against=Number of Losses/Number of Wins
Odds Against=1/Odds in Favor
Odds Against=Probability of Failure/(1-Probability of Failure)

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