R programming 6 hours part 17

This video is part 1 of full tutorials of doing statistics using R programming.

Contents

histograms
stem-and-leaf plots
scatter plots
box plots
Descriptive statistics with R
Frequency and contingency tables
Bivariate Correlation
Binomial distribution implementation in R
Binomial,Hypergeometric, Negative Binomial, Geometric distribution
Correlogram
Poisson Functions in R Programming
Continuous Uniform Distribution in R
Normal distribution implementation in R
Exponential distribution in R
Gamma distribution in R
Shapiro-Wilk test for normality
Chi-square distribution and Chi-square test in R
Beta distribution
Lognormal distribution
Weibull distribution
t-distribution
Normal Quantile-Quantile Plot
Levene’s Test for homogeneity of variance
Bootstrapping correlations
Biserial and point-biserial correlations
F distribution
Partial correlation



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