Calculating Mean Dice-Throw Values Over Time | Probabilities and Time Homework

AI Thread Summary
Rolling a die every two seconds results in a mean value of 3.5, which remains constant regardless of the number of rolls. This mean is derived from the uniform probability distribution of the die's outcomes. The distinction made between "mean" and "average" is clarified; both terms can refer to the same concept in this context. The mean reflects the theoretical average over infinite rolls, while the average pertains to a specific set of results. Overall, the mean value of dice throws does not change with time or the number of rolls.
Niles
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Homework Statement


Hi all.

Say I roll a dice every 2 seconds. So in t seconds, I will have rolled the dice t/2 times. I want to find a way of knowing the mean value of the dice-throws (i.e. the mean number of eyes on the dice) as a function of the time t.

The Attempt at a Solution


Since there are equal probability of getting 1 .. 6, I would say the mean is just 3.5, and this is not dependent on time.


By the way, is there a difference between average and mean? The way I have understood it, the mean is the theoretical average of eyes when tossing the dice infinitely many times, while the average is looking at a specific series, i.e. the series 1, 3 and 5 has the average 3.

Thanks in advance.


Niles.
 
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The mean is the "arithmetic average" for a uniform probability distribution as you have here or a "weighted average" if not. Your distinction is between the distribution mean and sample mean, not between "mean" and "average".

And, as you calculated, if you roll a die a number of times, the overall mean is a constant, 3.5. It is independent of the number of times you roll the die.
 
Thanks.
 
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