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Bias tape or bias binding is a narrow strip of fabric, typically plain weave, cut on the bias. As the weave of fabric is at a 45-degree angle, the resulting fabric strip is stretchier than a strip cut on the grain. The strip also has a better drape, and conforms to curves better than fabric cut on the grain. [1]
The "bias-cut" is a technique used by designers for cutting clothing to utilize the greater stretch in the bias or diagonal direction of the fabric, thereby causing it to accentuate body lines and curves and drape softly. For example, a full-skirted dress cut on the bias will hang more gracefully or a narrow dress will cling to the figure.
The difference between bias noise and the noise of virgin tape is an indicator of tape uniformity. Another important but rarely quantified type of noise is modulation noise, which appears only in the presence of a recorded signal, and which cannot be reduced by Dolby or dbx noise reduction systems.
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The anchoring bias, or focalism, is the tendency to rely too heavily—to "anchor"—on one trait or piece of information when making decisions (usually the first piece of information acquired on that subject). [11] [12] Anchoring bias includes or involves the following:
The field of statistics, where the interpretation of measurements plays a central role, prefers to use the terms bias and variability instead of accuracy and precision: bias is the amount of inaccuracy and variability is the amount of imprecision. A measurement system can be accurate but not precise, precise but not accurate, neither, or both.
Breakdown voltage is a characteristic of an insulator that defines the maximum voltage difference that can be applied across the material before the insulator conducts. In solid insulating materials, this usually [citation needed] creates a weakened path within the material by creating permanent molecular or physical changes by the sudden current.
In statistics, econometrics, political science, epidemiology, and related disciplines, a regression discontinuity design (RDD) is a quasi-experimental pretest–posttest design that aims to determine the causal effects of interventions by assigning a cutoff or threshold above or below which an intervention is assigned.
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