Sign up to mark as complete
Sign up to bookmark this question
Repeating Dice
You roll a single die. For each roll, you are paid the face value. If a roll gives 1, 2 or 3, you can roll the die again. Once you get 4, 5 or 6, the game stops. What is the expected payoff of this game?
Solution
E[X] is the expected payoff of this game. Then we have
(1)
(2)
(3)
(4)
(5)
(6)
Related Questions
Title | Category | Subcategory | Difficulty | Status |
---|---|---|---|---|
100-Sided Die | Probability and Statistics Theory | Expected Value | Hard | |
5 Descending Cards | Probability and Statistics Theory | Expected Value | Medium | |
Basketball Practice #1 | Probability and Statistics Theory | Expected Value | Medium | |
Basketball Practice #2 | Probability and Statistics Theory | Expected Value | Hard | |
Cards in Bin | Probability and Statistics Theory | Expected Value | Easy | |
Company Acquired or Not | Probability and Statistics Theory | Expected Value | Medium | |
Dice Game | Probability and Statistics Theory | Expected Value | Hard | |
Dice Sum | Probability and Statistics Theory | Expected Value | Easy | |
Dice With Same Numbers | Probability and Statistics Theory | Expected Value | Medium | Example |
Divisible Throws | Probability and Statistics Theory | Expected Value | Easy | |
Double Down Coin Bet | Probability and Statistics Theory | Expected Value | Easy | |
Drunk Student #1 | Probability and Statistics Theory | Expected Value | Easy | |
Drunk Student #2 | Probability and Statistics Theory | Expected Value | Medium | |
Empty Boxes | Probability and Statistics Theory | Expected Value | Easy | |
Exponential Distribution #1 | Probability and Statistics Theory | Expected Value | Medium | |
First Ace | Probability and Statistics Theory | Expected Value | Easy | |
First Flip Wins | Probability and Statistics Theory | Expected Value | Easy | |
Flip 100 Coins | Probability and Statistics Theory | Expected Value | Medium | Example |
Flip 4 coins #1 | Probability and Statistics Theory | Expected Value | Medium | |
Free Ticket | Probability and Statistics Theory | Expected Value | Hard | |
Gameshow Stop or Go | Probability and Statistics Theory | Expected Value | Easy | |
Kelly Betting #1 | Probability and Statistics Theory | Expected Value | Easy | |
Kelly Betting #2 | Probability and Statistics Theory | Expected Value | Medium | |
Other Than Six | Probability and Statistics Theory | Expected Value | Easy | |
Shooting Star | Probability and Statistics Theory | Expected Value | Easy | |
Specific Card #1 | Probability and Statistics Theory | Expected Value | Easy | |
Sum Two Dice | Probability and Statistics Theory | Expected Value | Easy | |
The Highest Six | Probability and Statistics Theory | Expected Value | Medium | |
Three Blue Orbs | Probability and Statistics Theory | Expected Value | Medium | |
Throw a 6 #1 | Probability and Statistics Theory | Expected Value | Easy | |
Throw a 6 #2 | Probability and Statistics Theory | Expected Value | Medium | |
Throw a 6 #3 | Probability and Statistics Theory | Expected Value | Hard | |
Throw a 6 #4 | Probability and Statistics Theory | Expected Value | Medium | |
Throw Until Match | Probability and Statistics Theory | Expected Value | Medium | Example |
Toy Collection #1 | Probability and Statistics Theory | Expected Value | Medium | |
Toy Collection #2 | Probability and Statistics Theory | Expected Value | Hard | |
Two Same Dice | Probability and Statistics Theory | Expected Value | Easy | |
Uniform Distribution #1 | Probability and Statistics Theory | Expected Value | Hard |
Discussion
(5)
Please log in to see the discussion.