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

Significance Testing: Overview01:04

Significance Testing: Overview

3.5K
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
3.5K
Introduction to Test of Independence01:21

Introduction to Test of Independence

2.4K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.4K
Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

299
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
299
Wald-Wolfowitz Runs Test I01:17

Wald-Wolfowitz Runs Test I

708
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
708
Types of Hypothesis Testing01:11

Types of Hypothesis Testing

26.7K
There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...
26.7K
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

2.0K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Genetic differentiation and phenotypic plasticity drive troglomorphic character development in European cavefish.

Evolution; international journal of organic evolution·2024
Same author

Unravelling the origins of boldness behaviour: a common garden experiment with cavefish (<i>Barbatula barbatula</i>).

Royal Society open science·2024
Same author

Smart and Portable Air-Quality Monitoring IoT Low-Cost Devices in Ibarra City, Ecuador.

Sensors (Basel, Switzerland)·2022
Same author

Structural organization of xanthine crystals in the median ocellus of a member of the ancestral insect group Archaeognatha.

Journal of structural biology·2022
Same authorSame journal

The Collaborative Research Center FONDA.

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2021
Same author

Postembryonic development and aging of the appendicular skeleton in Ambystoma mexicanum.

Developmental dynamics : an official publication of the American Association of Anatomists·2021
Same journal

Metrics and Algorithms for Locally Fair and Accurate Classifications using Ensembles.

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2022
Same journal

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2021
Same journal

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2021
Same journal

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2021
Same journal

Datenbank-Spektrum : Zeitschrift fur Datenbanktechnologie : Organ der Fachgruppe Datenbanken der Gesellschaft fur Informatik e.V·2021
See all related articles

Related Experiment Video

Updated: Aug 18, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K

Reviving the Workshop Series on Testing Database Systems - DBTest.

Carsten Binnig1, Alexander Böhm2, Tilmann Rabl3

  • 1Darmstadt, Germany.

Datenbank-Spektrum : Zeitschrift Fur Datenbanktechnologie : Organ Der Fachgruppe Datenbanken Der Gesellschaft Fur Informatik E.V
|December 6, 2022
PubMed
Summary
This summary is machine-generated.

The Workshop Series on Testing Database Systems (DBTest) has a long history, revived in 2018. Future plans aim to broaden its scope to include general software testing and debugging research.

Keywords:
DBTestSIGMOD

More Related Videos

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.4K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K

Related Experiment Videos

Last Updated: Aug 18, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases
07:26

Executing Complexity-Increasing Queries in Relational MySQL and NoSQL MongoDB and EXist Size-Growing ISO/EN 13606 Standardized EHR Databases

Published on: March 19, 2018

9.4K
Interactive and Visualized Online Experimentation System for Engineering Education and Research
08:35

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

2.5K

Area of Science:

  • Computer Science
  • Software Engineering

Background:

  • The complexity of database systems necessitates robust testing methodologies.
  • The Workshop Series on Testing Database Systems (DBTest) was initiated in 2008 to address this need.
  • DBTest successfully ran until 2013 and was revived in 2018 in a biannual format.

Discussion:

  • The workshop has consistently attracted high-quality submissions and active participation from academia and industry.
  • DBTest serves as a crucial forum for advancing the state-of-the-art in database testing.
  • The event fosters collaboration and knowledge exchange between researchers and practitioners.

Key Insights:

  • The sustained relevance and success of DBTest highlight the critical importance of database system testing.
  • The biannual format ensures regular updates and discussions on emerging challenges.
  • Active engagement from both academic and industrial sectors drives innovation in the field.

Outlook:

  • Future iterations of DBTest will expand to include broader software testing and debugging research communities.
  • This expansion aims to foster interdisciplinary approaches and solutions.
  • The goal is to create a more inclusive platform for diverse research perspectives.