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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

Description:

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.

Bivariate Analysis in R

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#Programming #Domain-Specific Languages (DSL) #R Programming #Mathematics #Statistics & Probability #Data Science #Statistical Analysis #Correlation #t-tests #ANOVA

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