statistical analysis
$begingroup$
Let's assume we have a (MOBA) video game like (League of Legends).
And we have a big analysis table of champion data.
Now we pick the data of a specific champion, and look at the 70.000 games played by the top 10% of playerbase.
So we have the following data:
Champion xyz:
- 70.000 games were played by the best 10% of players with this champion
This champion now has 2 different skill sets, the player can choose
70% of the players played the champion with (skill set 1) and had a Win Rate of 51,8%
The other 30% of the players played the champion with (skill set 2) and had a Win Rate of 54,7%
So we can clearly say more players played with (skill set 1) but achieved a less winrate then the players who played with (skill set 2)
How can we now determine which skill set is the overall better pick?
analysis statistics percentages
$endgroup$
add a comment |
$begingroup$
Let's assume we have a (MOBA) video game like (League of Legends).
And we have a big analysis table of champion data.
Now we pick the data of a specific champion, and look at the 70.000 games played by the top 10% of playerbase.
So we have the following data:
Champion xyz:
- 70.000 games were played by the best 10% of players with this champion
This champion now has 2 different skill sets, the player can choose
70% of the players played the champion with (skill set 1) and had a Win Rate of 51,8%
The other 30% of the players played the champion with (skill set 2) and had a Win Rate of 54,7%
So we can clearly say more players played with (skill set 1) but achieved a less winrate then the players who played with (skill set 2)
How can we now determine which skill set is the overall better pick?
analysis statistics percentages
$endgroup$
add a comment |
$begingroup$
Let's assume we have a (MOBA) video game like (League of Legends).
And we have a big analysis table of champion data.
Now we pick the data of a specific champion, and look at the 70.000 games played by the top 10% of playerbase.
So we have the following data:
Champion xyz:
- 70.000 games were played by the best 10% of players with this champion
This champion now has 2 different skill sets, the player can choose
70% of the players played the champion with (skill set 1) and had a Win Rate of 51,8%
The other 30% of the players played the champion with (skill set 2) and had a Win Rate of 54,7%
So we can clearly say more players played with (skill set 1) but achieved a less winrate then the players who played with (skill set 2)
How can we now determine which skill set is the overall better pick?
analysis statistics percentages
$endgroup$
Let's assume we have a (MOBA) video game like (League of Legends).
And we have a big analysis table of champion data.
Now we pick the data of a specific champion, and look at the 70.000 games played by the top 10% of playerbase.
So we have the following data:
Champion xyz:
- 70.000 games were played by the best 10% of players with this champion
This champion now has 2 different skill sets, the player can choose
70% of the players played the champion with (skill set 1) and had a Win Rate of 51,8%
The other 30% of the players played the champion with (skill set 2) and had a Win Rate of 54,7%
So we can clearly say more players played with (skill set 1) but achieved a less winrate then the players who played with (skill set 2)
How can we now determine which skill set is the overall better pick?
analysis statistics percentages
analysis statistics percentages
asked Dec 28 '18 at 2:15
ShivoShivo
11
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add a comment |
add a comment |
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