Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

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: 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.
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
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.
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Monitoring the nervous system: it's time to up our game.

Anaesthesia and intensive care·2018
Same author

Seeking and reporting apparent research misconduct: errors and integrity - a reply.

Anaesthesia·2017
Same author

Widening the search for suspect data - is the flood of retractions about to become a tsunami?

Anaesthesia·2017
Same author

Peri-operative lidocaine infusion for open radical prostatectomy.

Anaesthesia·2016
Same author

Right or wrong about the probability of being wrong?

Anaesthesia and intensive care·2011
Same author

Relative hypotension in the beach-chair position: effects on middle cerebral artery blood velocity.

Anaesthesia and intensive care·2010
Same journal

Evaluating the completeness of perioperative outcome metrics in electronic medical records: Insights based on the proposed Perioperative Clinical Outcomes Registry framework.

Anaesthesia and intensive care·2026
Same journal

Large language model prompt engineering for medical education: A practical guide for the Australian and New Zealand College of Anaesthetists Final Examination.

Anaesthesia and intensive care·2026
Same journal

Nitrous oxide added at the end of sevoflurane anaesthesia hastens emergence and eliminates prolonged time to extubation (SEVONATE study): A randomised controlled trial.

Anaesthesia and intensive care·2026
Same journal

Complications related to arterial line catheters and monitoring reported to webAIRS, 2009-2023.

Anaesthesia and intensive care·2026
Same journal

A summary guide for detecting and reducing nitrous oxide infrastructure leaks in healthcare facilities.

Anaesthesia and intensive care·2026
Same journal

Is jelly a solid or a clear liquid? A pilot study using ultrasound to assess the gastric emptying of fruit-flavoured gelatin dessert.

Anaesthesia and intensive care·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Bayesian statistics: how to quantify uncertainty

T J McCulloch

    Anaesthesia and Intensive Care
    |December 15, 2011
    PubMed
    Summary

    No abstract available in PubMed .

    More Related Videos

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
    09:23

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

    Published on: August 16, 2017

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012

    Related Experiment Videos

    Last Updated: May 26, 2026

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
    10:22

    Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

    Published on: September 7, 2019

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
    09:23

    Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

    Published on: August 16, 2017

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
    13:04

    Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

    Published on: September 19, 2012