Does this probability question admit an answer?

Sorry, my mistake. I read the experiment and jumped straight to the Monty Hall fallacy. Mea culpa.

But the probability didn’t change because of your knowledge–it changed because the set of possible outcomes changed.

Monty’s Law: As an online discussion on probability grows longer, the probability of a reference to Monty Hall approaches one.

CORRECT This is the PROBABILITY of picking the specified color.
For the spinners…Whoooosh :rolleyes:
Reread the original question.
It is a question of probablility, NOT of how many Red or Blue original marbles!

But to say “the set of possible outcomes changed” just is to say my knowledge of the situation changed… isn’t it?

In other words, the word “possible” in the phrase “possible outcomes” just means “concievable according to my state of knowledge regarding the placement of the cards.” (Not saying that’s what “possible” always means, just saying that’s what it’s meaning cashes out as in this particular situation.)

-FrL-

BTW I spent a week or two trying to prove the person who introduced me to Monty Hall’s paradox wrong. Now it’s others who spend a week or two trying to prove to me that it’s wrong. And the circle of life goes on… :slight_smile:

No, this is just wrong. If you want to make a calculation about probabilities you have to know some basic info about the underlying PDF and the OP as stated doesn’t contain the info you need. If you don’t know the distribution and you make a guess at it, then all of your calculations based on that are just guesses as well. GIGO!

Frylock wasn’t calculating an expected value, he was calculating a probability. They are two totally different things. If you KNOW that the two outcomes have equal probabilities then your calculation is correct but you don’t know that at all.

Gotta disagree here. Again, you can assume any distribution that you want but your answer is only as good as your assumption. If your assumption is a guess then your answer is a guess. Period. If you want to have an actual numerical result then you have to know the actual PDF. There’s NO way around it barring the case of “Suppose that there’s approximately equal and very large numbers of reds and blues”, that’s just a mathematical limit.

I would like recommendations for books discussing Frequentist and Bayesian philosophy. Something akin to the writings of Ivars Peterson or Martin Gardner.

I have “The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century” by David Salsburg. I did not like this book as much as I had hoped to. As I recall, it does not talk about Frequentism and B-ism.