Statistics using R programming - Shapiro–Wilk Test for Normality in R programming. #statistics

   • Statistics using R programming   Statistics using R programming - Shapiro–Wilk Test for Normality in R programming. Many of the statistical procedures are parametric tests based on the normal distribution. For example, the rationale behind hypothesis testing relies on having something that is normally distributed. Therefore, it is very important that you check the normal distribution assumption before deciding which statistical test is appropriate. The Shapiro-Wilk’s test or Shapiro test is a normality test in frequentist statistics. The null hypothesis of Shapiro’s test is that the population is distributed normally. If the value of p is equal to or less than 0.05, then the hypothesis of normality will be rejected by the Shapiro test. shapiro.test(x) #statistics #rprogramming #probability #rstudio #shapiro #shapirowilktest #rdatacode

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