Expected value of median of rolling three fair dice

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SUMMARY

The expected value of the median of rolling three fair dice is definitively calculated as 3.5 (or 7/2). This conclusion is derived from the symmetry of the probability distribution of the die, which remains invariant under the transformation x → 7 - x. The median, being a measure of central tendency, aligns with this symmetry, confirming that the median of three dice rolls is indeed 3.5. Simulations using Python's NumPy library further validate this result, demonstrating that the average of the medians from multiple trials converges to 3.5.

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Master1022
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Homework Statement
What is the expected value of the median of three dice rolls?
Relevant Equations
Expected Values
Hi,

I was reading this problem and I found a solution on Math Stackexchange which I don't quite understand.

Question: Calculate the expected value of the median of rolling a die three times.

Attempt:
I read the following answer on math stack exchange here
"As already noted in a comment, the result can be derived from symmetry without any calculation. The probability distribution of the die is invariant under the symmetry transformation ##x \rightarrow 7 - x##, a reflection about ##x = \frac{7}{2}##. Thus the median and the mean must also be invariant under this transformation. Thus they must be the centre of the reflection, x =\frac{7}{2} . "I don't quite understand why this means the median of rolling three die is ##\frac{7}{2}##. I apologize if this is quite obvious, but any help would be appreciated
 
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The median of three dice would be ##21/2## by the same symmetry argument.
 
PeroK said:
The median of three dice would be ##21/2## by the same symmetry argument.
sure, but I thought the median was a non-linear operator, so how have we arrived at that answer?
 
Master1022 said:
sure, but I thought the median was a non-linear operator, so how have we arrived at that answer?
Symmetry!

It doesn't have to be non-linear in all cases. It's only non-linear in general.
 
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PeroK said:
The median of three dice would be ##21/2## by the same symmetry argument.
Sorry, I just realized I wasn't clear. When I said 3 dice rolls, I meant as in rolling the dice three times and then calculating the median of the sequence (e.g. 1, 2, 5 --> median = 2). I think 21/2 might not be correct as it is bigger than 6 so median of the three rolls shouldn't (and I dare say can't) be that...
 
Master1022 said:
Sorry, I just realized I wasn't clear. When I said 3 dice rolls, I meant as in rolling the dice three times and then calculating the median of the sequence (e.g. 1, 2, 5 --> median = 2). I think 21/2 might not be correct as it is bigger than 6 so median of the three rolls shouldn't (and I dare say can't) be that...
Okay, of course, not added together. Then it's ##7/2## by the symmetry argument.

111 is as likely as 666
112 is as likely as 665
etc.

You ought to simulate this, with a computer script or otherwise, if you don't see it.
 
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PeroK said:
Okay, of course, not added together. Then it's ##7/2## by the symmetry argument.

111 is as likely as 666
112 is as likely as 665
etc.

You ought to simulate this, with a computer script or otherwise, if you don't see it.
Yes that is true, I wrote a quick python simulation to test it and it does make sense now. Thanks @PeroK !

I'll just leave the code here for any future readers:
[CODE lang="python" title="Expected Median of Three Dice Python Simulation"]# import libraries
import numpy as np

# define the number of repetitions
number_repetitions = 1000

# now make an array to store the medians
median_array = np.zeros(number_repetitions)

# start the loop
for i in range(number_repetitions):
# get the outcomes of the three dice and append median to array
median_array = np.median(np.random.randint(low = 1, high = 7, size = (1, 3)))

print('The expected value of the median of three dice rolls is', np.average(median_array))[/CODE]
 
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Master1022 said:
Yes that is true, I wrote a quick python simulation to test it and it does make sense now. Thanks @PeroK !

I'll just leave the code here for any future readers:
[CODE lang="python" title="Expected Median of Three Dice Python Simulation"]# import libraries
import numpy as np

# define the number of repetitions
number_repetitions = 1000

# now make an array to store the medians
median_array = np.zeros(number_repetitions)

# start the loop
for i in range(number_repetitions):
# get the outcomes of the three dice and append median to array
median_array = np.median(np.random.randint(low = 1, high = 7, size = (1, 3)))

print('The expected value of the median of three dice rolls is', np.average(median_array))[/CODE]


In your code, why did you set high = 7 not high = 6 in this line: median_array = np.median(np.random.randint(low = 1, high = 7, size = (1, 3)))? Since the die go from 1 to 6 not 7.
Thanks in advance for clarification.
 
The median of any number of die rolls is 7/2. It is expected that the number of rolls greater than this number will be equal to number less than this number.

I see to recall that any number between 6 and 7 will do.
 
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Hornbein said:
The median of any number of die rolls is 7/2. It is expected that the number of rolls greater than this number will be equal to number less than this number.

I see to recall that any number between 6 and 7 will do.
I see. Thanks for your clarification.
 

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