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Related Concept Videos

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor 't,' or...
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
The Uncertainty Principle04:08

The Uncertainty Principle

Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He mathematically...
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...

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Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations
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Published on: September 16, 2015

The value of uncertainty.

Michael Feldman1

  • 1British Psychoanalytical Society. mnf@mmfeld.co.uk

The Psychoanalytic Quarterly
|March 5, 2013
PubMed
Summary
This summary is machine-generated.

This study highlights Roy Schafer

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Area of Science:

  • Psychoanalytic theory and practice
  • Psychodynamic psychotherapy

Background:

  • Exploration of Roy Schafer's key contributions to psychoanalysis.
  • Emphasis on Schafer's anti-reductive approach and unique analyst role formulation.

Discussion:

  • Value of analyst's openness to uncertainty in psychoanalysis.
  • Addressing patient's demand for interpretations and reassurance.
  • Clinical vignette demonstrating tolerance of uncertainty.

Key Insights:

  • Schafer's emphasis on uncertainty enhances analytic understanding.
  • Analyst's emotional reactions to patients are crucial data.
  • Anti-reductive constructions deepen therapeutic process.

Outlook:

  • Integrating Schafer's principles for more nuanced psychoanalytic practice.
  • Further research into the analyst's role in managing uncertainty.
  • Applying these insights to contemporary psychodynamic therapy.