To find the range of scores for each team, we need to subtract the minimum score from the maximum score.
Team 1 Scores: {6, 0, 4, 17, 3, 12}
- Maximum Score = 17
- Minimum Score = 0
- Range = Maximum - Minimum = 17 - 0 = 17
Team 2 Scores: {23, 14, 22, 14, 17, 22}
- Maximum Score = 23
- Minimum Score = 14
- Range = Maximum - Minimum = 23 - 14 = 9
Now, we can compare the consistency of the two teams. A common method to measure consistency is to calculate the standard deviation of the scores. A lower standard deviation indicates more consistency.
Calculating the Standard Deviation
-
Team 1:
- Mean = (6 + 0 + 4 + 17 + 3 + 12) / 6 = 42 / 6 = 7
- Variance = [(6-7)² + (0-7)² + (4-7)² + (17-7)² + (3-7)² + (12-7)²] / 6
- Variance = [1 + 49 + 9 + 100 + 16 + 25] / 6 = 200 / 6 ≈ 33.33
- Standard Deviation = √33.33 ≈ 5.77
-
Team 2:
- Mean = (23 + 14 + 22 + 14 + 17 + 22) / 6 = 112 / 6 ≈ 18.67
- Variance = [(23-18.67)² + (14-18.67)² + (22-18.67)² + (14-18.67)² + (17-18.67)² + (22-18.67)²] / 6
- Variance = [19.36 + 21.78 + 11.11 + 21.78 + 2.78 + 11.11] / 6
- Variance = [87.92] / 6 ≈ 14.65
- Standard Deviation = √14.65 ≈ 3.83
Summary of Results
- Range of Team 1: 17
- Range of Team 2: 9
- Standard Deviation of Team 1: ≈ 5.77
- Standard Deviation of Team 2: ≈ 3.83
Conclusion
- Team 2 has a smaller range (9) compared to Team 1 (17), indicating that Team 2 has a more consistent score across the games.
- Additionally, Team 2's standard deviation (≈ 3.83) is lower than that of Team 1 (≈ 5.77), confirming that Team 2 is more consistent in scoring.