After a demanding season, Tara and Emek met with the coaching staff in the team analysis center to review thousands of performance records. They examined several data sets that tracked offensive efficiency, defensive consistency, and player workloads across different stages of the competition. Instead of focusing on one outstanding game, they compared long-term trends, changes over time, and relationships between different performance measures. Their analysis showed which improvements were reliable and which results were caused by unusual situations. By interpreting the data patterns and weighing the evidence from multiple sources, Tara and Emek recommended adjustments to training schedules and game strategies. The coaches used their findings to prepare a stronger plan for the next season.

Challenges

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Challenge 1 of 5

Challenges

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Challenge 1 of 4
Hint
Find the difference between the final and initial percentages for each method.
The coaching staff compared two training methods using performance data. Method A improved average efficiency from 72% to 78%, while Method B improved it from 80% to 84%. Which interpretation is correct?
Method B had the larger percentage-point improvementMethod A had the larger percentage-point improvementBoth methods improved by the same percentage-point amountThe improvements cannot be compared because the starting values are different
Correct! Method A improved by 6 percentage points, while Method B improved by 4 percentage points.
Compare the changes in values, not only the final performance levels.
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Hint
Convert the percentage to a decimal and multiply by the total number of records.
The analysis team reviewed 2000 performance records. If 35% of the records showed improvement after a training change, how many records showed improvement?
Correct! 35% of 2000 records equals 700 records.
Check the percentage calculation using 35/100 of the total.
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Hint
Recall that smaller standard deviation means data values are closer to the average.
Tara and Emek compared two players' consistency using the standard deviation of their performance scores. Player A had a standard deviation of 4.2 and Player B had a standard deviation of 1.8. Which conclusion is best supported by the data?
Player A was always better because the standard deviation was largerPlayer B showed more consistent performance because the standard deviation was smallerPlayer A and Player B had identical consistencyPlayer B had less reliable performance because the standard deviation was smaller
Correct! Player B's smaller standard deviation indicates more consistent performance.
Standard deviation measures variation, not whether a player is better overall.
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Sezon Stratejisi İncelemesi
TR
ARC_G12_DP_01_STORY_02
Sezon Stratejisi İncelemesi
The Season Strategy Review
EN
ARC_G12_DP_01_STORY_02
The Season Strategy Review