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1
Bivariate Analysis Meaning | Statistics Tutorial #19 | MarinStatsLectures
2
Bivariate Analysis for Categorical & Numerical | Statistics Tutorial #20 | MarinStatsLectures
3
Paired t Test | Statistics Tutorial #21| MarinStatsLectures
4
Paired t-Test in R with Examples | R Tutorial 4.7 | MarinStatsLectures
5
Wilcoxon Signed Rank Test | Statistics Tutorial #22 | MarinStatsLectures
6
Wilcoxon Signed Rank Test in R with Example | R Tutorial 4.8 | MarinStatsLectures
7
Two Sample t-test for Independent Groups | Statistics Tutorial #23| MarinStatsLectures
8
Two-Sample t Test in R (Independent Groups) with Example | R Tutorial 4.2 | MarinStatsLectures
9
Mann Whitney U / Wilcoxon Rank-Sum Test in R | R Tutorial 4.3 | MarinStatsLectures
10
Two Sample t-Test:Equal vs Unequal Variance Assumption| Statistics Tutorial #24| MarinStatsLectures
11
One Way ANOVA (Analysis of Variance): Introduction | Statistics Tutorial #25 | MarinStatsLectures
12
ANOVA (Analysis of Variance) and Sum of Squares | Statistics Tutorial #26 | MarinStatsLectures
13
ANOVA Part III: F Statistic and P Value | Statistics Tutorial #27 | MarinStatsLectures
14
ANOVA Part IV: Bonferroni Correction | Statistics Tutorial #28 | MarinStatsLectures
15
ANOVA, ANOVA Multiple Comparisons & Kruskal Wallis in R | R Tutorial 4.9 | MarinStatsLectures|
16
Chi Square Test of Independence | Statistics Tutorial #29| MarinStatsLectures
17
Chi-Square Test, Fisher’s Exact Test, & Cross Tabulations in R | R Tutorial 4.10| MarinStatsLectures
18
Odds Ratio, Relative Risk, Risk Difference | Statistics Tutorial #30| MarinStatsLectures
19
Odds Ratio, Relative Risk & Risk Difference with R | R Tutorial 4.11| MarinStatsLectures
20
Case-Control Study and Odds Ratio | Statistics Tutorial #31| MarinStatsLectures
Description:
Explore bivariate analysis in statistics and R through this comprehensive video playlist. Learn the fundamentals of analyzing relationships between two variables, covering both categorical and numerical data types. Master various statistical techniques including paired t-tests, Wilcoxon signed-rank tests, two-sample t-tests, Mann-Whitney U tests, ANOVA, chi-square tests, and odds ratios. Gain practical skills in implementing these methods using R programming, with step-by-step tutorials and real-world examples. Ideal for beginners and intermediate learners, this series provides a solid foundation in statistical analysis and its application in R, enhancing your ability to interpret and analyze data effectively.

Bivariate Analysis in Statistics and with R - Statistics for Beginners

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