Zeta Test

Zeta Test is software specialized in statistical analysis and data processing. The tool is designed to perform complex calculations, generate detailed reports and make it easier to interpret results in scientific research, market studies and academic projects.

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• Descriptive analysis. This function calculates measures of central tendency such as the mean, median and mode, as well as measures of dispersion such as standard deviation, variance and interquartile range. It includes graphical representations such as histograms and box plots.
• Hypothesis testing. Performs parametric tests (Student's t-test, ANOVA) and non-parametric tests (Wilcoxon, Kruskal-Wallis). Automatically selects the appropriate test according to the data type and sample size.
• Correlation analysis. Calculates Pearson, Spearman and Kendall coefficients. Generates correlation matrices and scatter plots with confidence intervals.
• Linear and logistic regression. Builds predictive models with cross-validation. Provides standardized coefficients, p-values and goodness-of-fit statistics such as R-squared.
• Factor analysis. Identifies underlying patterns in sets of variables using principal components and Varimax rotations. Determines sampling adequacy with the Kaiser-Meyer-Olkin test.
• Quality control. Implements Shewhart, CUSUM and EWMA control charts for monitoring industrial processes. Detects variations outside predefined limits.
• Statistical sampling. Calculates optimal sample sizes for different research designs with specified confidence levels and precision.
• Survival analysis. Applies Kaplan-Meier models and Cox regression for longitudinal studies with censored data.
• Bayesian methods. Performs inference using Bayes' theorem with different priors. Calculates Bayes factors for model comparison.
• Report generation. Exports results in PDF, HTML and DOCX formats with tables formatted according to APA style. Includes customization options.
• Database integration. Connects directly to SQL Server, MySQL and PostgreSQL. Supports CSV, XLSX and SPSS formats.

Zeta Test was initially developed in 2015 by a team of statisticians and software engineers led by Dr. Carlos Méndez. The first version was written in Python using scientific libraries such as NumPy and SciPy. In 2018, the computational core was migrated to C++ to improve performance with large volumes of data. The current graphical interface uses the Qt Framework. The project receives quarterly updates with new statistical features.

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