At an athletics training center, Tara and Emek studied a data panel showing an athlete's weekly training load of 750 units. The coach planned to increase the load by 16 percent for the next week, but the athlete's recovery score remained low. Under the training plan, a low score required a 10 percent reduction from the increased load. Tara first calculated 750(1.16) = 870 units. Emek then applied the reduction to this new amount: 870(0.90) = 783 units. The coach initially wondered whether a 16 percent increase followed by a 10 percent decrease meant a net increase of 6 percent. Tara explained that the percentages were based on different amounts. Their calculation showed that 783 units was actually 33 units above the original 750, an overall increase of 4.4 percent. After checking the successive multipliers, they recommended a target of 783 units. The coach accepted the adjusted plan, balancing increased training with the athlete's need for recovery.