R for Statistics session 154

This video is part 154 of full tutorials of doing statistics using R programming. And more focus of this video is put on functions for distribution functions and statistical testing in Statistics. 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 #rstudio #rprogramming #statistics #distribution #normaldistribution #tdistribution #rdatacode