Statistics Lab
The Statistics Lab is an interactive learning platform designed to deepen university students' understanding of statistical methods and their real-world applications. Through study meetings, hands-on workshops, and collaborative projects, participants gain practical experience in data analysis while building a supportive community focused on ethical data practices.
Meeting 1: Introduction to the Statistics Lab and Statistical Analysis
Overview of the lab’s mission, introduction to key statistical concepts like mean, median, and standard deviation, and an interactive exercise using sample datasets.
Meeting 2: Foundations of Probability and Data Visualization
Covers basic probability rules, data collection methods, and introduces descriptive statistics and visualization techniques.
Meeting 3: Hypothesis Testing
Explains hypothesis testing, focusing on parametric tests like t-tests and ANOVA, and non-parametric tests like chi-square.
Meeting 4: Regression Analysis
Introduces linear and logistic regression, with practical examples using R Studio.
Meeting 5: Time Series Analysis
Provides foundational techniques for time series analysis and a hands-on workshop with sample problems from real world business and economics issues.
Meeting 6: Advanced Data Visualization and Real-World Applications
Explores advanced visualization techniques using Tableau and Power BI, concluding with group presentations and a networking event.
