Anchoring and Adjustment Bias Estimator

Quantify anchoring bias by computing the anchor pull coefficient — the proportion of adjustment from anchor to true value actually made by subjects. Anchor pull = (estimate – anchor) / (true value – anchor).

Data set — comma or newline separated
Statistical Results — n = 8
Count (n)8
Sum (Σx)40
Min2
Max9
Range7
Q14
Q35.5
IQR1.5
Mean (μ)5
Median4.5
Mode4
Pop. Variance (σ²)4
Pop. Std Dev (σ)2
Sample Variance (s²)4.571428571
Sample Std Dev (s)2.138089935
Skewness0.65625
Excess Kurtosis-0.21875
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How It Works

Quantify anchoring bias by computing the anchor pull coefficient — the proportion of adjustment from anchor to true value actually made by subjects. Anchor pull = (estimate – anchor) / (true value – anchor)

Each component has a specific meaning:

  • Anchor — The anchor recorded for the scenario being assessed.

Note: Interpret the anchoring bias result against the thresholds and context described above.

How to Use

Enter the anchor for the scenario you are assessing. Quantify anchoring bias by computing the anchor pull coefficient — the proportion of adjustment from anchor to true value actually made by subjects. Anchor pull = (estimate – anchor) / (true value – anchor). Use the anchoring bias result to inform your calculation.

Frequently Asked Questions