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 Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

4.0K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
4.0K
Wilcoxon Rank-Sum Test01:21

Wilcoxon Rank-Sum Test

479
The Wilcoxon rank-sum test, also known as the Mann-Whitney U test, is a nonparametric test used to determine if there is a significant difference between the distributions of two independent samples. This test is designed specifically for two independent populations and has the following key requirements:
479
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

301
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
301
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

4.1K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
4.1K
Microsoft Excel: Student's t-Test01:25

Microsoft Excel: Student's t-Test

1.0K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.0K
Kruskal-Wallis Test01:19

Kruskal-Wallis Test

1.1K
The Kruskal-Wallis test, also known as the Kruskal-Wallis H test, serves as a nonparametric alternative to the one-way ANOVA, offering a solution for analyzing the differences across three or more independent groups based on a single, ordinal-dependent variable. This statistical test is particularly valuable in scenarios where the data does not meet the normal distribution assumption required by its parametric counterparts. Kruskal-Wallis test is designed typically to handle ordinal data or...
1.1K

You might also read

Related Articles

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

Sort by
Same author

The cost-effectiveness of penicillin allergy assessment pathway (PAAP): a decision analysis.

BMJ open·2025
Same author

Procalcitonin evaluation of antibiotic use in COVID-19 hospitalised patients: The PEACH mixed methods study.

Health technology assessment (Winchester, England)·2025
Same author

Trimodal age distribution of frequent attendance at the emergency department: a descriptive analysis of national, English, secondary care data using a retrospective cohort.

BMJ open·2025
Same author

Procalcitonin to guide antibiotic use during the first wave of COVID-19 in English and Welsh hospitals: integration and triangulation of findings from quantitative and qualitative sources.

BMJ open·2025
Same author

Impact of midwife continuity of carer on stillbirth rate and first feed in England.

Communications medicine·2025
Same author

Direct oral penicillin challenge in secondary care with low-risk patients: the SPACE mixed-methods study with cost-effectiveness analysis.

Health and social care delivery research·2025

Related Experiment Video

Updated: Nov 18, 2025

Flypub To Study Ethanol Induced Behavioral Disinhibition and Sensitization
08:13

Flypub To Study Ethanol Induced Behavioral Disinhibition and Sensitization

Published on: May 18, 2020

6.8K

Best practice in statistics: Use the Welch t-test when testing the difference between two groups.

Robert M West1

  • 1Leeds Institute of Health Sciences, School of Medicine, 4468University of Leeds, Leeds, UK.

Annals of Clinical Biochemistry
|February 10, 2021
PubMed
Summary
This summary is machine-generated.

Clinical biochemists should use Welch's t-test for comparing two measurement groups. This statistical test offers broader validity than the traditional Student's t-test in various settings.

Keywords:
Statisticst-testvalidity

More Related Videos

Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness
06:36

Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness

Published on: March 14, 2025

567
A Standardized Protocol for Preference Testing to Assess Fish Welfare
07:29

A Standardized Protocol for Preference Testing to Assess Fish Welfare

Published on: February 22, 2020

7.2K

Related Experiment Videos

Last Updated: Nov 18, 2025

Flypub To Study Ethanol Induced Behavioral Disinhibition and Sensitization
08:13

Flypub To Study Ethanol Induced Behavioral Disinhibition and Sensitization

Published on: May 18, 2020

6.8K
Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness
06:36

Effects of Mechanical Methods Used in Peri-implantitis Treatment on Implant Surface Decontamination and Roughness

Published on: March 14, 2025

567
A Standardized Protocol for Preference Testing to Assess Fish Welfare
07:29

A Standardized Protocol for Preference Testing to Assess Fish Welfare

Published on: February 22, 2020

7.2K

Area of Science:

  • Biochemistry
  • Statistical Analysis
  • Clinical Diagnostics

Background:

  • Clinical biochemists frequently need to compare measurements between two groups.
  • Familiarity with statistical tests like Student's t-test is essential for accurate data interpretation.
  • Existing methods may have limitations in certain experimental conditions.

Purpose of the Study:

  • To provide guidance on the application of Welch's t-test.
  • To highlight the advantages of Welch's t-test over Student's t-test.
  • To promote the use of a more broadly valid statistical approach in clinical biochemistry.

Main Methods:

  • Comparative analysis of statistical test validity.
  • Guidance on the appropriate use of Welch's t-test.
  • Explanation of differences between Welch's and Student's t-tests.

Main Results:

  • Welch's t-test demonstrates validity in a wider range of settings compared to Student's t-test.
  • Subtle but important differences exist between the two statistical tests.
  • The study advocates for the preferential use of Welch's t-test.

Conclusions:

  • Welch's t-test is recommended over Student's t-test for comparing two groups of measurements in clinical biochemistry.
  • Adopting Welch's t-test enhances the reliability of statistical comparisons.
  • This guidance aims to improve the rigor of biochemical data analysis.