AI-involved Basic Statistics Lessons

Explore AI-enhanced basic statistics lessons designed to equip researchers with quantitative analysis skills, featuring decision tree methodologies for data-driven decision-making.

These 13 lessons are designed to provide a comprehensive introduction to research methods and statistics, emphasizing practical application using SPSS. Each lesson builds on the previous one, ensuring students have a solid understanding of theoretical concepts and their practical application.

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Week 1: Overview of Research Methods and Statistics

Week 2: Introduction to SPSS

Week 3: Descriptive Statistics

Week 4: Reliability and Validity

Week 5: One-Sample t-Test

Week 6: Independent Samples t-Test

Week 7: Paired Samples t-Test

Week 8: Analysis of Variance (ANOVA)

Week 9: Two-Way ANOVA

Week 10: Multivariate Analysis of Variance (MANOVA)

Week 11: Pearson Correlation Analysis

Week 12: Regression Analysis

Week 13: Writing and Presenting Research Findings

Bonus: SPSS Decision Tree Analysis