BanglayShikhi

Research Learning Lab

Every lesson takes a few minutes: read, see an example, decide, practise.

Your overall progress: 0/7 (0%)
Which statistical method should I use?Answer a few questions to get the right test and the reason why.
🧭 Chapter 1 Research & Statistics Fundamentals What research is, who you study, and what kind of data you collect.
0/1 lessons
🧹 Chapter 2 Data Preparation Turn messy raw data into analysis-ready data.
0/1 lessons
📊 Chapter 3 Descriptive Statistics Summarise data with numbers, tables and charts.
0/2 lessons
🎲 Chapter 4 Probability & Statistical Inference From a sample to a population — with honest uncertainty. Coming soon ⚖️ Chapter 5 Hypothesis Testing Frame a question, pick a test, make a decision.
0/1 lessons
🧪 Chapter 6 t-tests Compare means of one, two or paired groups.
0/1 lessons
📐 Chapter 7 ANOVA Compare means across three or more groups. Coming soon 🪶 Chapter 8 Non-parametric Tests Rank-based tests when assumptions fail. Coming soon 🔲 Chapter 9 Chi-square & Categorical Analysis Analyse counts and associations between categories. Coming soon 🔗 Chapter 10 Correlation Strength and direction of relationships.
0/1 lessons
📈 Chapter 11 Linear Regression Predict a numeric outcome from one or more predictors. Coming soon 🎯 Chapter 12 Logistic Regression Model yes/no outcomes with odds ratios. Coming soon ⏳ Chapter 13 Survival Analysis Time-to-event data and censoring. Coming soon 🕸️ Chapter 14 Multivariate Statistics Many variables at once. Coming soon 🗺️ Chapter 15 Research Methodology Design studies that produce trustworthy answers. Coming soon 🚀 Chapter 16 Advanced Statistics Expandable advanced modules. Coming soon 🤖 Chapter 17 Machine Learning for Researchers Prediction models and honest evaluation. Coming soon