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

Study Design in Statistics01:15

Study Design in Statistics

10.0K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.0K
The Scientific Method03:50

The Scientific Method

66.9K
Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion. 
66.9K
The Scientific Method01:32

The Scientific Method

267.8K
The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.
Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...
267.8K
The Scientific Method02:40

The Scientific Method

65.5K
Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.
65.5K
Statistical Significance01:50

Statistical Significance

21.9K
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...
21.9K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.6K

You might also read

Related Articles

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

Sort by
Same author

Integrating Genome-Scale Metabolic Modeling with Machine Learning Improves Gene Essentiality Prediction in Triple-Negative Breast Cancer.

International journal of molecular sciences·2026
Same author

Fibroblast- and Macrophage-Derived Thrombospondin-1 Orchestrates the Fibroinflammatory Niche in Metabolic Dysfunction-Associated Steatohepatitis-Induced Fibrosis.

Diabetes & metabolism journal·2026
Same author

Harnessing computational intelligence for synthetic lethality: A roadmap from network biology to interpretable deep learning in precision oncology.

New biotechnology·2026
Same author

Beyond petrochemicals: challenges and opportunities in industrial-scale biomanufacturing.

Nature communications·2026
Same author

Development of predictive models for the prognosis of triple-negative breast cancer using multiple transcriptomic analyses.

PloS one·2026
Same author

Metabolic engineering of <i>Escherichia coli</i> for the biosynthesis of nylon 6 and nylon 6,6 monomers.

Proceedings of the National Academy of Sciences of the United States of America·2026

Related Experiment Video

Updated: Feb 4, 2026

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay
09:21

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Published on: June 17, 2010

50.6K

Revisiting Statistical Design and Analysis in Scientific Research.

Kyeong Rok Choi1,2,3, Jae Yong Ryu1,2,3, Sang Yup Lee1,2,3

  • 1Metabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 plus program), Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.

Small (Weinheim an Der Bergstrasse, Germany)
|September 27, 2018
PubMed
Summary

This article explains the importance of correct statistical analysis in scientific research. It offers guidance on applying statistical methods from experiment design to data presentation to avoid incorrect conclusions.

Keywords:
data presentationhypothesis testingregressionstatistical analysisstatistics

More Related Videos

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K
The Microscopic Transcanal Approach in Stapes Surgery Revisited
07:35

The Microscopic Transcanal Approach in Stapes Surgery Revisited

Published on: February 16, 2022

2.9K

Related Experiment Videos

Last Updated: Feb 4, 2026

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay
09:21

Quantitative Real-Time PCR using the Thermo Scientific Solaris qPCR Assay

Published on: June 17, 2010

50.6K
Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

11.2K
The Microscopic Transcanal Approach in Stapes Surgery Revisited
07:35

The Microscopic Transcanal Approach in Stapes Surgery Revisited

Published on: February 16, 2022

2.9K

Area of Science:

  • Biostatistics
  • Scientific Methodology

Background:

  • Statistics are crucial for designing and interpreting scientific experiments.
  • Improper statistical analysis can lead to erroneous research conclusions.

Purpose of the Study:

  • To revisit fundamental statistical concepts.
  • To provide guidelines for applying statistical analysis in scientific research.

Main Methods:

  • Review of basic statistical principles.
  • Guideline development for experimental design.
  • Guideline development for data analysis and presentation.

Main Results:

  • Revisiting core statistical concepts.
  • Providing a framework for applying statistics throughout the research process.

Conclusions:

  • Correct statistical application is vital for valid scientific research.
  • This article serves as a guide for researchers to ensure appropriate statistical methodology.