The Schnapsen Log
Homework on Expected Values
Martin Tompa
We are going to break away from our ongoing story for today’s column only. I am once again teaching a course on Probability and Statistics, using Schnapsen as a running example of applications of Probability. It’s been fun teaching Schnapsen to a large group of students who had never encountered it before.
In the course, we are just up to the topic of expected value now, so it seems appropriate to give them a homework exercise that involves expected game points. Today’s column is that homework exercise. This means that I won’t be posting my analysis until one week from now, when the homework will be due. A similar homework exercise appeared as a column last year.
You have just started a new game against the Maestro. On the very first deal, you reach the following interesting position:
Unseen cards:
♠ T
♥ K
♣ QJ
♦ TQYour cards:
♠ K
♥ A
♣ AT
♦ JTrump: ♥J
Stock: 1 face-down card
Game points: Maestro 7, You 7
Trick points: Maestro 27, You 21
On lead: Maestro
The Maestro fingers each card in his hand in turn, and finally leads ♠T. There have been no marriages declared, and no one did a trump exchange. You should assume that each of the five cards you haven’t seen is equally likely to be the last face-down card in the stock.
Plan your play for the rest of the hand. In particular, answer the following questions:
(a) How will the deal play out if you duck this trick? Who will win, and how many game points?
(b) How will the deal play out if you win this trick? In this case, you will draw the random, face-down card from the stock and the Maestro will draw the face-up ♥J. Consider each of the five cards you might draw and, for each one, find your best play and the resulting number of game points you will win or lose. Combine these appropriately to determine the expected number of game points that you will win.
(c) Based on your answers, will you duck the Maestro’s ♠T or trump it? Why?
Once your homework has been turned in a week from now, you will be able to read my analysis.
© 2014 Martin Tompa. All rights reserved.