Monday

July 28, 2014

July 28, 2014

Posted by **Jamie** on Saturday, December 5, 2009 at 4:01pm.

(1, 1) (1, 2) (1, 3) (1, 4) (1, 5) (1, 6)

(2, 1) (2, 2) (2, 3) (2, 4) (2, 5) (2, 6)

(3, 1) (3, 2) (3, 3) (3, 4) (3, 5) (3, 6)

(4, 1) (4, 2) (4, 3) (4, 4) (4, 5) (4, 6)

(5, 1) (5, 2) (5, 3) (5, 4) (5, 5) (5, 6)

(6, 1) (6, 2) (6, 3) (6, 4) (6, 5) (6, 6)

Let X denote the absolute value of the difference of the two numbers. Find the probability distribution of X. Give the probabilities as decimals rounded to three decimal places.

- Mathematics -
**MathMate**, Sunday, December 6, 2009 at 11:11amFor X=0, the two dice must roll equal values, such as (1,1),(2,2), ....

Count the number of such cases, divide it by 36 (number of possible outcomes) and assign the quotient to X(0).

Repeat the count for X(1) (i.e. difference =1, such as (3,2)...), X(2)....until X(5).

The sum of X(0)...X(5) should add up to 1.

- Mathematics -
**PsyDAG**, Sunday, December 6, 2009 at 11:21amMake a frequency distribution for the absolute differences of the values. The absolute difference probabilities will be the number of tosses with each difference divided by 36. For example, no difference ([1,1], [2,2,] etc.) would be 6/36 = 1/6 (convert to decimal). I5I (absolute difference) would be 2/36.

I'll let you do the rest.

The probabilities should sum as 1 (within rounding error) as a check.

I hope this helps.

- Mathematics -
**Anonymous**, Monday, February 6, 2012 at 9:05pmjijlmkjiojkl

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