drmwc wrote:I don't see why. Recall that I've re-defined Mon to be the event "SB was interviewed on Monday;" and similarly for Tue. So Tue is identical to the event "tails" from a probability point of view.
Specifically, I can take P(Tue and tails)=1/2 and end up with an indexical-free probability model:
(1) P(Mon or Tue) = 1
(2) P(heads and Tue) = 0
(3) P(heads | Mon or Tue) = 1/2
(4) P(heads | Mon) = 1/2
(5) P(Tue and tails) = 1/2
So P(Tue|tails) = P(Tue and tails)/P(tails) = (1/2)/(1/2) = 1.
And P(Tue) = P(Tue and tails) + P(Tue and heads) = 1/2 + 0 = 1/2.
I believe that this set up is mathematically consistent, and a vaild model for the experiment.
Note that 5) from my original model is no longer true: P(Mon|Tails) = 1.
I have not seen an indexical-free probability model under which P(heads|Mon)=1/3. It may be possible, but it will certainly be non-trivial to construct.
This may be clearer. Given "Mon or Tue" and "heads or tails",
P(Mon, heads) + P(Tue, heads) + P(Mon, tails) + P(Tue, tails) = 1
(I have used a comma to indicate "and".)
We also have
P(Mon) = P(Mon, heads) + P(Mon, tails)
P(Tue) = P(Tue, heads) + P(Tue, tails)
P(heads) = P(Mon, heads) + P(Tue, heads)
P(tails) = P(Mon, tails) + P(Tue, tails)
P(Mon) + P(Tue) = 1
P(heads) + P(tails) = 1
According to your model,
(2) P(Tue, heads) = 0
That gives us
P(Tue) = P(Tue, tails)
P(heads) = P(Mon, heads)
According to your model,
(5) P(Tue, tails) = 1/2
That gives us
P(Tue) = 1/2
P(tails) = P(Mon, tails) + 1/2
P(Mon) = 1/2
According to your model,
(3) P(heads | Mon or Tue) = 1/2
Since "Mon or Tue" is given, that means
P(heads) = 1/2
P(tails) = 1/2
P(Mon, heads) = 1/2
P(Mon, tails) = 0
We can put that in the following table.
Code: Select all
Mon Tue Σ
heads 1/2 0 1/2
tails 0 1/2 1/2
Σ 1/2 1/2 1
But P(Mon, tails) <> 0, as we know. The coin could come up tails and Beauty be interviewed on Monday.
By the givens of the problem, P(Tue, heads) = 0.

And, P(heads) = 1/2 is your contention, so we retain that.

That means that (5) has to go. That leaves us with this table.
Code: Select all
Mon Tue Σ
heads 1/2 0 1/2
tails p q 1/2
Σ r q 1
By your model,
(4) P(heads | Mon) = 1/2
That means that P(Mon, heads) = P(Mon)/2.
And that gives us the following table.
Code: Select all
Mon Tue Σ
heads 1/2 0 1/2
tails 1/2 0 1/2
Σ 1 0 1
That's why I said that (1) - (4) imply that P(Tue) = 0.
