Related Experiment Video

Updated: Oct 3, 2026

Quantitative Autonomic Testing
11:40

Quantitative Autonomic Testing

Published on: July 19, 2011

[The sweat test. The proposal to revise the concept of the "grey zone"]

D Castello1, A Visca, M Castello

  • 1Azienda Ospedaliera Materno-Infantile, OIRM, Sant'Anna, Torino.

Minerva Pediatrica
|June 1, 1996
PubMed

More Related Videos

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device05:32

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

Related Concept Videos

Requirements for Human Life01:26

Requirements for Human Life

The Earth and its atmosphere have provided humans with air, water, and food, but these are not the only requirements for survival. Humans also require a specific range of temperature and pressure that the Earth and its atmosphere provides.
Oxygen
Atmospheric air is only about 20 percent oxygen, but that oxygen is a key component of the chemical reactions that keep the body alive, including the reactions that produce ATP. Brain cells are susceptible to a lack of oxygen because they require a...
Testing a Claim about Mean: Unknown Population SD01:21

Testing a Claim about Mean: Unknown Population SD

A complete procedure of testing a hypothesis about a population mean when the population standard deviation is unknown is explained here.
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...
Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This number is...