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Nu:         3.9165
No:         3.9133                                No = (10f0 + 2)/3
Confusion: -0.0032                                Nu = (1/(4 – Z))2,
Confidence: 3.8519    Integrated: Confident,          Z = 2(1/(1 –
Po:         0.9740     Consistent, Assured; Nu = 4 f0/4))2

Nu:         2.9469
No:         3.8000
Confusion: 0.8531
Confidence: 2.0938    Top Adjustment:
Po:         0.9400    Continued growth; Nu = 3

Nu:         1.7763
No:         3.5400
Confusion: 1.7637
Confidence: 0.0126    Mid Adjustment:
Po:         0.8620    Confidence becomes positive; Nu = 2

Nu:         0.9541
No:         3.0700
Confusion: 2.1159
Confidence: -1.1618   Lower Adjustment:
Po:          0.8620   Confusion begins to drop; Nu = 1

Nu:         0.6470
No:         2.6433
Confusion: 1.9963
Confidence: -1.3493   Adaptation:
Po:          0.5930   Inconsistency begins to drop; Nu < 1


Sample Data from
Optimization of the Appreciation Model
                                                         ©Agape Consultants, 2011

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Appreciation Model Sample Data, Chart

  • 1. Nu: 3.9165 No: 3.9133  No = (10f0 + 2)/3 Confusion: -0.0032  Nu = (1/(4 – Z))2, Confidence: 3.8519 Integrated: Confident, Z = 2(1/(1 – Po: 0.9740 Consistent, Assured; Nu = 4 f0/4))2 Nu: 2.9469 No: 3.8000 Confusion: 0.8531 Confidence: 2.0938 Top Adjustment: Po: 0.9400 Continued growth; Nu = 3 Nu: 1.7763 No: 3.5400 Confusion: 1.7637 Confidence: 0.0126 Mid Adjustment: Po: 0.8620 Confidence becomes positive; Nu = 2 Nu: 0.9541 No: 3.0700 Confusion: 2.1159 Confidence: -1.1618 Lower Adjustment: Po: 0.8620 Confusion begins to drop; Nu = 1 Nu: 0.6470 No: 2.6433 Confusion: 1.9963 Confidence: -1.3493 Adaptation: Po: 0.5930 Inconsistency begins to drop; Nu < 1 Sample Data from Optimization of the Appreciation Model ©Agape Consultants, 2011