Anomalies and Non-exchangeable: Statistical Analysis of Network Data

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Page 3 of 4

Covers Fractional Factorial Designs, types, examples, balanced designs, and exploiting redundancies in interactions.

Explores digital lesson development, experimental research, t-tests, ANOVA, and statistical analysis using R.

Explores graph statistics, random graph generation, network analysis, centrality measures, and clustering coefficients.

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Covers the calculation of paired t-tests, advantages/disadvantages of different t-tests, and the concept of ANOVA.

Explores Extreme Value Theory applications to time series, discussing extremogram, moving maxima, and rare event threshold sequences.

Covers hypothesis testing, confidence intervals, data distributions, and statistical significance in data analysis.

Explores the impact of weather events on climate change, emphasizing human influence and statistical analysis.

Explores ANOVA, moderation, and statistical analysis methods in digital education, emphasizing their significance in educational research.

Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.