Statistics

Structured academic support for statistics courses and research: from introductory statistics through advanced inference and applied analysis.

Subtopics

• Descriptive statistics: Summaries, distributions, visualizations
• Probability: Distributions, expectation, conditional probability
• Inferential statistics: Estimation, hypothesis testing, confidence intervals
• Regression: Linear and multiple regression, diagnostics, interpretation
• Advanced topics: ANOVA, nonparametric methods, multivariate methods where relevant

Academic Use Cases

• Problem sets and exams with step-by-step solutions
• Statistical analysis for projects or theses (e.g., SPSS, R, Excel)
• Interpretation and report writing for data-driven assignments

Relevant Services

Assignment help, project support, thesis and dissertation guidance, tutoring, and academic editing.