Explore these resources to enhance your understanding of statistical concepts and methods.
        
            
                Hypothesis Testing in R (R Code Examples)
                This interactive resource presents one-sample and two-sample hypothesis testing examples in R. Covers raw-data and summary statistics examples for Z-tests, T-tests, pooled and unpooled (Welch's) two-sample tests, paired tests, and non-parametric tests. Designed for beginners in R-programming in an introductory probability and statistics course.
                Format: Interactive HTML (Hosted on GitHub)
                View Hypothesis Testing R Code
             
            
                Descriptive Measures Overview
                
                A concise overview of key descriptive statistics, including mean, median, mode, and standard deviation.
                Format: Overview Image
             
            
                Chi-Square Test Overview
                
                Introduction to the Chi-Square test, its applications, and how to interpret results.
                Format: Overview Image
             
            
                Normal Distribution Lecture Notes (with R Code)
                Comprehensive lecture notes on the normal distribution, including properties, applications, and R code examples for analysis.
                Format: Lecture Notes (PDF)
                📥 Download PDF
             
            
                Hypothesis Testing & Confidence Intervals for Proportions
                Beginner-friendly, step-by-step lecture notes on statistical inference for population proportions. Covers confidence intervals, margin of error, sample size calculation, and hypothesis testing for one and two proportions. Includes R code examples and real-world interpretation tips.
                Format: Interactive HTML
                🖥️ Open Lecture Notes
             
            
                Linear Regression Lecture Notes
                Clear, beginner-focused lecture notes explaining simple linear regression concepts, interpretation of slope, intercept, R-squared, and hypothesis testing in regression, with R examples.
                Format: Interactive HTML
                🖥️ Open Lecture Notes
             
            
                Chi-Square Test Lecture Notes
                Lecture notes on the Chi-Square tests for independence and goodness-of-fit with R-code examples.
                Format: Interactive HTML
                🖥️ Open Lecture Notes
             
            
                Analysis of Variance (ANOVA) with R Examples
                Comprehensive guide to One-Way ANOVA including F-distribution theory, assumptions checking, implementation in R, and post-hoc analysis using Tukey's HSD. Features interactive visualizations and real-world examples.
                
                    ANOVA
                    R Code
                    Interactive
                    Lecture Notes
                
                Format: Interactive HTML with R Code
                📊 Open ANOVA Guide