Answer:
a
Step-by-step explanation:
Step-by-step explanation:
_
0.416666666666666666666
Answer: Mean
Mean is the only measure of central tendency that is always affected by an outlier.
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Since the dice are fair and the rolling are independent, each single outcome has probability 1/15. Every time we choose

We have
and
, because the dice are fair.
Now we use the assumption of independence to claim that

Now, we simply have to count in how many ways we can obtain every possible outcome for the sum. Consider the attached table: we can see that we can obtain:
- 2 in a unique way (1+1)
- 3 in two possible ways (1+2, 2+1)
- 4 in three possible ways
- 5 in three possible ways
- 6 in three possible ways
- 7 in two possible ways
- 8 in a unique way
This implies that the probabilities of the outcomes of
are the number of possible ways divided by 15: we can obtain 2 and 8 with probability 1/15, 3 and 7 with probability 2/15, and 4, 5 and 6 with probabilities 3/15=1/5
Convert to an equation:
50^2=2+25^2=2*5=10
Simplify:
2500=625=10=10
What is wrong is that 2500 does not equal 625 which does not equal 10.