Learning Behavior and Interactive Pattern Analysis - Coding Scheme, Tools and Applications
Discover how learning analytics and big data can enhance education through interactive pattern analysis, coding schemes, and practical applications in this insightful keynote presentation from Taiwan Tech.
Applying Learning Analytics on Predicting Student's Academic Performance
Discover how learning analytics and educational big data can predict student academic performance through expert insights from Prof. Yang's keynote presentation at Kyoto University's symposium.
Distributions
Explore key probability distributions, their functions, and applications in statistics through detailed explanations and examples.
Survival Analysis
Learn key concepts and techniques in survival analysis, including censoring, truncation, life tables, and Kaplan-Meier curves, with practical examples and applications.
Statistics with R Programming Language - Step by Step
Learn statistical concepts and their implementation in R programming. Step-by-step tutorials cover introductory to intermediate topics, with hands-on practice using downloadable datasets and scripts for a comprehensive learning experience.
Linear Regression Concept and with R Video Series
Comprehensive video series on linear regression concepts and R implementation, covering simple and multiple regression, assumptions, interactions, and model selection techniques.
Analysis of Variance - ANOVA Statistics and ANOVA with R
Learn to perform Analysis of Variance (ANOVA) with practical examples and R implementation. Master statistical techniques for comparing multiple group means, including post-hoc tests and non-parametric alternatives.
Descriptive Statistics Concept and With R
Learn descriptive statistics techniques and their implementation in R, covering data summarization, visualization, and basic measures to effectively analyze and present research findings.
Bivariate Analysis in Statistics and with R - Statistics for Beginners
Comprehensive exploration of bivariate analysis techniques in statistics using R, covering various tests and methods for analyzing relationships between two variables.
Getting Started with R - R Statistical Software Tutorial Videos
Comprehensive introduction to R programming for beginners, covering installation, basic operations, data handling, and essential functions. Ideal for those starting their journey in data analysis and statistics.
Graphs and Descriptive Statistics with R - R Statistical Software Tutorial Videos
Learn to create various graphs and calculate descriptive statistics using R. Master bar charts, boxplots, histograms, scatterplots, and more while customizing plots and adding text and legends.
Linear Regression in R
Comprehensive guide to linear regression in R: model fitting, assumption checking, interpretation, categorical variables, interactions, and advanced techniques for effective data analysis.
Conceptual Overviews of Statistical and Data-Analytic Tools and Techniques
Explore key statistical and data analysis methods, from hierarchical regression to survival analysis, with conceptual overviews of advanced techniques and tools.
Sampling Distributions
Explore sampling distributions, focusing on the sample mean and Central Limit Theorem, to enhance your understanding of statistical concepts.
Discrete Probability Distributions
Comprehensive exploration of discrete probability distributions, covering key concepts, formulas, and applications for various distribution types in statistics and probability theory.
Confidence Intervals for a Population Mean
Learn to construct, interpret, and apply confidence intervals for population means using Z and t methods, exploring assumptions and sample size determination.
Inference for Proportions
Explore statistical inference for proportions, covering sampling distributions, confidence intervals, hypothesis tests, and comparisons between two populations.
Simple Linear Regression
Learn to analyze relationships between variables using linear regression, covering model interpretation, assumptions, inference, and practical applications.
Covariance, Clearly Explained
Demystifies covariance, its calculation, and significance in statistics. Explores relationships between variables and sets the stage for understanding correlation.
Linear Regression, Clearly Explained
Clear explanation of linear regression concepts, including least squares, R-squared, multivariable models, p-values, and F-distribution. Ideal for beginners seeking a solid foundation in statistical analysis.
Quartiles, Deciles, and Percentiles With Cumulative Relative Frequency - Data and Statistics
Learn to calculate quartiles, deciles, and percentiles using cumulative relative frequency tables. Master essential statistical concepts for data analysis and interpretation.