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Bivariate Analysis in R

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Dive into bivariate analysis techniques using R in this comprehensive video tutorial series. Learn to conduct various statistical tests including t-tests, ANOVA, chi-square, and linear regression. Master the application of parametric and non-parametric methods for data analysis, covering topics such as confidence intervals, bootstrap hypothesis testing, permutation tests, and multiple comparisons. Gain practical skills in using RStudio for health science research and introductory statistics. Enhance your understanding of data science concepts while exploring the beauty of statistics through engaging examples and clear explanations.

Syllabus

One-Sample t Test & Confidence Interval in R with Example | R Tutorial 4.1| MarinStatsLectures.
Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures.
Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures.
Bootstrap Hypothesis Testing in R with Example | R Video Tutorial 4.4 | MarinStatsLecutres.
Bootstrap Confidence Interval with R | R Video Tutorial 4.5 | MarinStatsLectures.
Permutation Hypothesis Test in R with Examples | R Tutorial 4.6 | MarinStatsLectures.
Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures.
Wilcoxon Signed Rank Test in R with Example | R Tutorial 4.8 | MarinStatsLectures.
ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures|.
Chi-Square Test, Fisher’s Exact Test, & Cross Tabulations in R | R Tutorial 4.10| MarinStatsLectures.
Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures.
Correlations and Covariance in R with Example | R Tutorial 4.12 | MarinStatsLectures.
Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures.
Checking Linear Regression Assumptions in R | R Tutorial 5.2 | MarinStatsLectures.

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MarinStatsLectures-R Programming & Statistics

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