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# System prepended metadata

title: 'NTU analysis: Competitive Math and Bargaining'

---

# NTU analysis: Competitive Math and Bargaining

This time, I combine the two analysis together.

## Competitive Math

In stage 2, 4, 5, the data is incomplete (Guessing the accomplish of themselves). The analysis of them is currently drop.

Now, only “Correct Answer”, “Total Answer”, and “Correct Rate” are focused.

Currently, the standard is: If in one stage, one’s correct answer is less than 3 or correct rate is smaller than 0.5, they are noted.

### Overall Analysis
![](https://i.imgur.com/2yXlMUB.png)
In the above picture are the box-plots of all players’ correct answer and answer numbers.

![](https://i.imgur.com/w0PIjyH.png)
The above ones are the box-plots of the correct rate.

We may see that in all round, correct answers are greater than 5 and most of the correct rate is greater than 0.7. Much better than the 聚光 case。

### Individual Case

Only 3 players answer less than three question in some rounds, and only 2 players get correct rate less than 0.5 .
![](https://i.imgur.com/mGK5GIx.png)


## Bargaining

![](https://i.imgur.com/z53ztQO.png)

Averagely speaking, all NTU students' behaviours are better than 聚光, moreover, it is obviously that students kept learning during the game play (Average gain increases.

40 people earn more or equal to average 50 coins, 52 people gain more in the last round than in the first round, and none gains an average less than 30.

x-axile is the difference between each periods:
![](https://i.imgur.com/gO1ANK0.png)

We can see that the curves are more dense above 0 than below 0. It shows that most of people learn to earn more in the game.
