Descriptive & Exploratory Statistics
Initial sample characterization through statistical computation and graphical tools. Assessment of assumptions for parametric and non-parametric testing.
What it is
The stage where you summarize, organize and visualize your data to spot patterns, trends and inconsistencies before any inferential test.
It also checks the assumptions behind parametric and non-parametric tests, so the analysis that comes next rests on solid ground.
What's included
- Univariate analysisMeasures of central tendency and dispersion chosen for your data.
- Assumption checksNormality, skewness and kurtosis, before any test.
- Data visualizationProfessional charts that show your data clearly.
- Variable diagnosisAdvice on transformations and outliers.
- Methodological supportArguments to defend your descriptive approach before reviewers or committees.
What you receive
- Technical reportPDFThe methodology, the organized results and an interpretation of each variable.
- Summary tablesExcel · CSVFrequencies and descriptive statistics, with footnotes ready for a thesis or an article.
- Graphics galleryJPG · TIFHigh-resolution images with legends and captions.
- Materials and Methods templateA personalized paragraph describing the tests and the software used.
Frequently asked questions
How do you choose between the mean and the median?
It depends on the distribution and the outliers: the median suits skewed data and the mean suits symmetric data.
Can I use the charts in a conference poster?
Yes. They come as high-resolution .TIF or .JPG files.
How is it different from data curation?
Curation cleans and organizes the database. Descriptive statistics interprets and summarizes it.
Tell us about your study
We reply with questions and a quote.