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

Statistical Significance01:50

Statistical Significance

21.8K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
21.8K
Sign Convention01:30

Sign Convention

3.5K
When analyzing a beam subjected to various loads, it is crucial to understand the internal forces and moments generated within the structure. These internal forces can be broadly classified into normal forces, shear forces, and bending moments. To determine these forces and moments, we use the method of sections and apply a specific sign convention based on their direction and the side of the section being analyzed.
The normal force acts perpendicular to the beam's cross-section and can...
3.5K
Probability in Statistics01:14

Probability in Statistics

23.4K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
23.4K
Machines01:19

Machines

578
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
578
Introduction to Statistics01:17

Introduction to Statistics

63.8K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
63.8K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

409
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
409

You might also read

Related Articles

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

Sort by
Same authorSame journal

Response to comment on 'Artificial intelligence-based approaches to augmenting and automating surgical training'.

BJU international·2026
Same author

Correction: Novel force feedback technology improves suturing in robotic-assisted surgery: a pre-clinical study.

Surgical endoscopy·2025
Same author

Correction: Novel force feedback technology improves suturing in robotic-assisted surgery: a pre-clinical study.

Surgical endoscopy·2025
Same author

Novel force feedback technology improves suturing in robotic-assisted surgery: a pre-clinical study.

Surgical endoscopy·2024
Same author

Human AI collaboration for unsupervised categorization of live surgical feedback.

NPJ digital medicine·2024
Same author

Capturing relationships between suturing sub-skills to improve automatic suturing assessment.

NPJ digital medicine·2024
Same journal

Comment on 'Tumour size outperforms nephrometry scores to predict surgical success following partial nephrectomy'.

BJU international·2026
Same journal

STHLM3 NorDCaP: prospective multicentre trial of Stockholm3 for active surveillance biopsy guidance.

BJU international·2026
Same journal

F-URS with FANS versus mPCNL for 2-3 cm UUTS: a RCT with a subgroup analysis of 2-2.5 cm stones.

BJU international·2026
Same journal

Health-related quality of life and patient-reported outcome measures in economic evaluation of urological technologies: challenges and opportunities.

BJU international·2026
Same journal

Comment on 'Artificial intelligence-based approaches to augmenting and automating surgical training'.

BJU international·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K

Can machine-learning algorithms replace conventional statistics?

Andrew J Hung1

  • 1Center for Robotic Simulation and Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, CA, USA.

BJU International
|December 20, 2018
PubMed
Summary

No abstract available in PubMed .

More Related Videos

Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

13.0K

Related Experiment Videos

Last Updated: Jan 31, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.5K
Constructing and Visualizing Models using Mime-based Machine-learning Framework
06:19

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

2.5K
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

13.0K