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When tasked with detecting potential cheaters in a sports tracking app, it's crucial to focus on identifying metrics and statistical approaches that can effectively highlight unusual patterns indicative of dishonest behavior. Below is a detailed breakdown of the solution:
Speed/Pace:
Heart Rate:
Elevation Gain:
Acceleration Patterns:
Z-score Analysis:
Hypothesis Testing:
Moving Average Baselines:
Box Plot Visualization:
By focusing on these metrics and employing robust statistical methods, we can effectively identify and address potential cheating in sports tracking applications, ensuring fair play and accurate activity tracking for all users.