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Sextus Empiricus
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Is it correct to setup the sample space made of 26 outcomes like so?

outcomes from 6-sided dice:  [ 1 2 3 4 5 6
outcomes from 8-sided dice:    1 2 3 4 5 6 7 8
outcomes from 12-sided dice:   1 2 3 4 5 6 7 8 9 10 11 12 ]

This works. It looks like a joint distribution of 'the type of dice' (rows) and the 'number rolled' (columns).

You can fill in the probabilities of each of the 26 samples in this space,

outcomes from 6-sided dice:  [ a b c d e f
outcomes from 8-sided dice:    g h i j k l m n
outcomes from 12-sided dice:   o p q r s t u v w x y z ]

then consider the probability of the type of dice, conditional on the outcome being 1.

I will fill in the first row for you, e.g. the probability that the dice is 6-sided (1/3) and the roll is 1 (1/6) is the product 1/3 x 1/6 = 1/18, or with a different denominator 4/72 (72 is gonna be useful for comparison with the other cases)

outcomes from 6-sided dice:  [ 4/72 4/72 4/72 4/72 4/72 4/72
outcomes from 8-sided dice:    g    h    i    j    k    l    m    n
outcomes from 12-sided dice:   o    p    q    r    s    t    u    v    w    x    y    z ]

Is it correct to setup the sample space made of 26 outcomes like so?

outcomes from 6-sided dice:  [ 1 2 3 4 5 6
outcomes from 8-sided dice:    1 2 3 4 5 6 7 8
outcomes from 12-sided dice:   1 2 3 4 5 6 7 8 9 10 11 12 ]

This works. It looks like a joint distribution of 'the type of dice' (rows) and the 'number rolled' (columns).

You can fill in the probabilities of each of the 26 samples in this space,

outcomes from 6-sided dice:  [ a b c d e f
outcomes from 8-sided dice:    g h i j k l m n
outcomes from 12-sided dice:   o p q r s t u v w x y z ]

then consider the probability of the type of dice, conditional on the outcome being 1.

Is it correct to setup the sample space made of 26 outcomes like so?

outcomes from 6-sided dice:  [ 1 2 3 4 5 6
outcomes from 8-sided dice:    1 2 3 4 5 6 7 8
outcomes from 12-sided dice:   1 2 3 4 5 6 7 8 9 10 11 12 ]

This works. It looks like a joint distribution of 'the type of dice' (rows) and the 'number rolled' (columns).

You can fill in the probabilities of each of the 26 samples in this space,

outcomes from 6-sided dice:  [ a b c d e f
outcomes from 8-sided dice:    g h i j k l m n
outcomes from 12-sided dice:   o p q r s t u v w x y z ]

then consider the probability of the type of dice, conditional on the outcome being 1.

I will fill in the first row for you, e.g. the probability that the dice is 6-sided (1/3) and the roll is 1 (1/6) is the product 1/3 x 1/6 = 1/18, or with a different denominator 4/72 (72 is gonna be useful for comparison with the other cases)

outcomes from 6-sided dice:  [ 4/72 4/72 4/72 4/72 4/72 4/72
outcomes from 8-sided dice:    g    h    i    j    k    l    m    n
outcomes from 12-sided dice:   o    p    q    r    s    t    u    v    w    x    y    z ]
Source Link
Sextus Empiricus
  • 86.6k
  • 6
  • 115
  • 304

Is it correct to setup the sample space made of 26 outcomes like so?

outcomes from 6-sided dice:  [ 1 2 3 4 5 6
outcomes from 8-sided dice:    1 2 3 4 5 6 7 8
outcomes from 12-sided dice:   1 2 3 4 5 6 7 8 9 10 11 12 ]

This works. It looks like a joint distribution of 'the type of dice' (rows) and the 'number rolled' (columns).

You can fill in the probabilities of each of the 26 samples in this space,

outcomes from 6-sided dice:  [ a b c d e f
outcomes from 8-sided dice:    g h i j k l m n
outcomes from 12-sided dice:   o p q r s t u v w x y z ]

then consider the probability of the type of dice, conditional on the outcome being 1.