Statistics with R – Intermediate Level
Statistical analyses using the R program
What you’ll learn
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run parametric and non-parametric correlation (Pearson, Spearman, Kendall)
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perform partial correlation
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run the chi-square test for association
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run the independent sample t test
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run the paired sample t test
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execute the one-way analysis of variance
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perform the two-way and three-way analysis of variance
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run the one-way multivariate analysis of variance
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run non-parametric tests for mean difference (Mann-Whitney, Kruskal-Wallis, Wilcoxon)
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execute the multiple linear regression
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compute the Cronbach’s alpha
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compute other reliability indicators (Cohen’s kappa, Kendall’s W)
Requirements
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R and R studio
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knowledge of statistics
Who this course is for:
- students
- PhD candidates
- academic researchers
- business researchers
- University teachers
- anyone looking for a job in the statistical analysis field
- anyone who is passionate about quantitative analysis
