The phrase "a statistical exploration" is correct and usable in written English.
It can be used when referring to an investigation or analysis of data using statistical methods to uncover patterns or insights.
Example: "The research paper presents a statistical exploration of the relationship between diet and health outcomes in various populations."
Alternatives: "a statistical analysis" or "a statistical study".
For Father's Day last year, his 19-year-old daughter bought him a copy of "The Book," a statistical exploration of the game.
A statistical exploration, 2005" the proportion of girls aged 15-19 currently in union is very high in the region.
The design of this crossover study allowed a statistical exploration of the relationships between changes in the measured variables using structural equation modeling.
This procedure includes two main parts, A) Bioinformatics Classification and B) Statistical Exploration.
Jaren is now working on his dissertation research: a text-analytic and statistical exploration of the performance effects and political contingencies of ideological differentiation in the charter school sector.
[Read UNICEF's statistical exploration] A violation of rights Seen from a human rights perspective, FGM/C of any type is a harmful practice, a violation of human rights of girls and women (notably to the right to the highest attainable standard of health, to bodily integrity, to protection and in the most extreme cases, to the right to life) and a form of violence.
In the Statistical Exploration part, a statistical approach is developed to produce optimal weights for SNPs by modeling the risk set statuses (as prior information) and association p-values of SNPs simultaneously.
Summation of the eight outcomes formed a composite PDQ Responsiveness Score (PRS), giving a global quantitative measure of the PDQ's effect, and allowing inferential statistical exploration.
The advantage of KMO is found in the fact that it suggests the presence of latent factors, meaning that the statistical exploration of the data may be conducted easily; it is also a double check diagnostic alongside Bartlett's test.
Statistical exploration of these cut marks suggested that knife type, serrated or plain, can be predicted from cut mark width and wall angle.
The model-based data treatment proceeds in two stages: (i) statistical exploration of the parameter space using Monte Carlo techniques and (ii) optimization routine to explicate degradation contributions and determine the pertinent set of parameters.
