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

Null and Alternative Hypotheses01:16

Null and Alternative Hypotheses

12.9K
The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
The null hypothesis, denoted by H0 is a statement of no difference between the variables—they are not related. This can often be considered the status quo. As  a result if you cannot accept the null, it requires some action.
The alternative hypothesis, denoted by H1 or Ha, is a claim about the...
12.9K
Biodiversity and Human Values01:24

Biodiversity and Human Values

17.2K
Human civilization relies on biodiversity in many ways. Sudden changes in species biodiversity result in environmental changes that can modify weather patterns and therefore human civilizations.
17.2K
Professional Values01:29

Professional Values

11.0K
Nurses are responsible for caring for patients during birth, death, illness, and healing. Professional values guide the decisions and actions that nurses make in their careers. If nurses know the decisions and actions to take, providing patients with exceptional care is possible.
The values that are the foundation of the nursing profession are altruism, autonomy, human dignity, and social justice.
First, altruism refers to the concern for the welfare and well-being of others without personal...
11.0K
Critical Values01:31

Critical Values

10.4K
A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.4K
z Scores and Unusual Values01:07

z Scores and Unusual Values

11.1K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
 This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.1K
Alternative RNA Splicing02:18

Alternative RNA Splicing

25.3K
Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
25.3K

You might also read

Related Articles

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

Sort by
Same author

Social Expectancy Increases Skin Conductance Response in Mobile Instant Messaging Users.

Psicothema·2023
Same author

Attachment style and prenatal expectations from a Bayesian perspective.

Psicothema·2020
Same author

Experiential avoidance and excessive smartphone use: a Bayesian approach.

Adicciones·2019
Same author

Points of Significance. Bayesian networks.

Nature methods·2015
Same author

POINTS OF SIGNIFICANCE: Bayesian statistics.

Nature methods·2015
Same author

Points of significance: Bayes' theorem.

Nature methods·2015
Same journal

Personal Recovery in Addictions: Development of a new Assessment Instrument.

Psicothema·2026
Same journal

Internet Habits, Problematic Internet Use, and Online Risk Practices Among Adolescents With ADHD in Spain.

Psicothema·2026
Same journal

Relationship Between Social Connectedness and Quality of Life in Older Adults: An Examination of Sex Differences.

Psicothema·2026
Same journal

The Influence of Gender on Measuring Mental Health Stigma. A Cross-Sectional Vignette Study With the Attribution Questionnaire 9.

Psicothema·2026
Same journal

Comprehensive Assessment of Mental Health Stigma.

Psicothema·2026
Same journal

Psychometric Properties of the Teachers' Responses to Bullying Questionnaire (TRBQ) in Spanish Students.

Psicothema·2026
See all related articles

Related Experiment Video

Updated: Feb 15, 2026

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.4K

Deciding on Null Hypotheses using P-values or Bayesian alternatives: A simulation study.

Ana M Ruiz-Ruano García1, Jorge López Puga

  • 1UCAM Universidad Católica de Murcia.

Psicothema
|January 25, 2018
PubMed
Summary
This summary is machine-generated.

Bayesian Bayes Factors outperform traditional p-values in hypothesis testing, especially with larger sample sizes. Using Bayes Factors alongside classical statistics can reduce false discoveries in scientific research.

More Related Videos

Study of Siphon Breaker Experiment and Simulation for a Research Reactor
08:45

Study of Siphon Breaker Experiment and Simulation for a Research Reactor

Published on: September 26, 2017

9.3K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.2K

Related Experiment Videos

Last Updated: Feb 15, 2026

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
04:35

Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment

Published on: July 5, 2024

2.4K
Study of Siphon Breaker Experiment and Simulation for a Research Reactor
08:45

Study of Siphon Breaker Experiment and Simulation for a Research Reactor

Published on: September 26, 2017

9.3K
Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches
07:31

Author Spotlight: Advancing Cell Membrane Biophysics - Exploring Interactions and Challenges Through Experimental and Computational Approaches

Published on: September 1, 2023

3.2K

Area of Science:

  • Statistical inference
  • Hypothesis testing

Background:

  • P-values are central to hypothesis testing but face criticism.
  • Bayesian statistics and Bayes Factors offer alternatives for improved scientific decision-making.

Purpose of the Study:

  • Compare BIC-based Bayes Factor and Vovk-Sellke p-value calibration against the p-value.
  • Evaluate performance when the null hypothesis is true.

Main Methods:

  • Simulated one million pairs of independent datasets from a normal population.
  • Varied sample sizes and recorded exact p-values and Bayesian alternatives for sample means.

Main Results:

  • Bayes Factors demonstrated superior performance, favoring the null hypothesis.
  • BIC-based Bayes Factor showed higher accuracy than p-value calibration, improving with sample size.

Conclusions:

  • Bayesian factors are valuable complements for hypothesis testing.
  • Using tested Bayesian alternatives can help avoid false statistical discoveries.
  • Recommend integrating classical and Bayesian statistics.