Related Experiment Video
Updated: Oct 14, 2025

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
Published on: March 19, 2021
Statistics decrypted-a comprehensive review and smartphone-assisted five-step approach for good statistical practice
Laura C Guglielmetti1, Fabio Faber-Castell2, Lukas Fink3
1Department of Visceral and Thoracic Surgery, Cantonal Hospital of Winterthur, Winterthur, Switzerland.
This review simplifies statistical concepts for non-mathematicians, offering a five-step method to select appropriate statistical tests and avoid common errors in research.
Area of Science:
- Biostatistics
- Scientific Research Methodology
Background:
- Statistical scripts are often complex for clinicians and non-mathematician scientists.
- Understanding statistical tests is crucial for most research projects.
Purpose of the Study:
- To provide an overview of common statistical terms and concepts.
- To guide researchers in selecting the correct statistical test for their data.
- To promote good statistical practice in scientific research.
Main Methods:
- Introduction to descriptive statistics for data description.
- Explanation of inferential statistics and bias.
- Presentation of commonly used statistical tests.
- Development of a five-step approach for test selection via a smartphone app.
Main Results:
- Clear definitions of statistical terms and concepts.
- Guidance on descriptive and inferential statistics.
- Discussion of potential biases in data analysis.
- A practical five-step guide to choosing appropriate statistical tests.
Conclusions:
- The five-step approach establishes a new standard for good statistical practice.
- The accessible smartphone app aids researchers in correct statistical test selection.
More Related Videos
Related Concept Videos
Introduction to Statistical Process Control
Statgraphics
Statistical Software for Data Analysis and Clinical Trials
Statistical Methods for Analyzing Epidemiological Data
Statistical Analysis: Overview
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...
Overview of Biostatistics in Health Sciences

