In Statistics, various tables used to reference critical values for different distributions and tests.

An automated, user-interactive tutorial attendance impact report generator. The code conducts hypothesis testing to compare the student performance with tutorial attendance, and outputs a PDF report.

Assessment of UK healthcare performance in 2011 compared to healthcare in other OECD Countries: University of Sheffield, MAS223 Practical 4 code and files

ASIS is a web application developed for the compilation of impact report PDF documents for the tutorial programme (A-STEP) at the University of the Free State.

f test for generated fake spectra for xspec, heasoft

A basic comparison of different statistical methods for data understanding and exploration.

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

Conduct one-way and multi-way anova in Julia with MixedModels.jl

We present a detailed study of the asymptotic behavior of the distribution of the tails of these, perhaps, most commonly used statistical tests under non-standard conditions, that is, releasing the underlying assumptions of normality, independence and identical distribution and considering a more general case where one only assumes that the vect…

Wine dataset statistical analysis using Hypothesis testing (F-test, T-test, ANOVA, ANCOVA). Using machine learning to predict wine quality. Using regularization with 10 fold cross validation to overcome overfitting. Created different visualizations on the dataset.

Testeo de modelo de regresión lineal entre el pbi y el riesgo pais argentino 1999-2023. Limpieza y transformación de datos con SQL y Excel. Regresión lineal, Test F y Coeficiente de determinación (R2) con R.

Create barplots or boxplots with significant level annotations.

Executed Regression modelling, hypothesis testing and statistical analysis to predict factors affecting credit card balances in a firm. Tools & technologies: ANOVA, p-value, R square

To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.

Examples of using the test statistics to test hypotheses

Performed graphical and numerical EDA, correlation and residual error analysis, log normalization

This project focuses on the development and evaluation of machine learning models to predict credit card application and crime rate.

Conduct one-way and multi-way anova in Julia with GLM.jl

Research on the reasons for GDP per Capita growth in China

Conduct one-way and multi-way anova in Julia with FixedEffectModels.jl