To determine which team has a greater Mean Absolute Deviation (MAD), we first need to calculate the mean score for each team and then find the absolute deviation from the mean for each match.
Team A Scores:
- Match 1: 18
- Match 2: 22
- Match 3: 35
- Match 4: 25
- Match 5: 40
Mean for Team A: \[ \text{Mean}_A = \frac{18 + 22 + 35 + 25 + 40}{5} = \frac{140}{5} = 28 \]
Absolute Deviations for Team A:
- |18 - 28| = 10
- |22 - 28| = 6
- |35 - 28| = 7
- |25 - 28| = 3
- |40 - 28| = 12
Sum of Absolute Deviations for Team A: \[ 10 + 6 + 7 + 3 + 12 = 38 \]
MAD for Team A: \[ \text{MAD}_A = \frac{38}{5} = 7.6 \]
Team B Scores:
- Match 1: 29
- Match 2: 30
- Match 3: 31
- Match 4: 30
- Match 5: 32
Mean for Team B: \[ \text{Mean}_B = \frac{29 + 30 + 31 + 30 + 32}{5} = \frac{152}{5} = 30.4 \]
Absolute Deviations for Team B:
- |29 - 30.4| = 1.4
- |30 - 30.4| = 0.4
- |31 - 30.4| = 0.6
- |30 - 30.4| = 0.4
- |32 - 30.4| = 1.6
Sum of Absolute Deviations for Team B: \[ 1.4 + 0.4 + 0.6 + 0.4 + 1.6 = 4.4 \]
MAD for Team B: \[ \text{MAD}_B = \frac{4.4}{5} = 0.88 \]
Conclusion:
- Team A MAD: 7.6
- Team B MAD: 0.88
Since Team A has a greater MAD than Team B, it indicates that Team A's scores are more spread out compared to Team B's scores, which are more consistent.
The correct interpretation is: Team A their scores are more spread out.