Player1 makes the bet.(adsbygoogle = window.adsbygoogle || []).push({});

the 2nd player has a 32% chance to accept the bet.

the 3rd player has a 56% chance to accept the bet.

the 4th player has a 20% chance to accept the bet.

there can only be one winner of said bet, so player one is interested in knowing the EXPECTED number of players that will call his bet (how much competition will he have)

(we can make the assumption that the % chance of a player accepting the bet does not change depending on the # of players accepted before him..they aren't that smart)

anyone have an idea how I can approach this?

haven't taken stats in a while

**Physics Forums - The Fusion of Science and Community**

The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

# What distribution should i use?

Loading...

Similar Threads - distribution should | Date |
---|---|

I How to plot a scaled lognormal function | Mar 12, 2018 |

I Rewriting of equality in conditional probability distribution | Jan 16, 2018 |

I Probability of a Stochastic Markov process | Dec 27, 2017 |

I Standard Deviation Versus Sample Size & T-Distribution | Dec 20, 2017 |

Neurologist: What P-values should I be expecting? | Nov 30, 2015 |

**Physics Forums - The Fusion of Science and Community**