When the dots follow the line closely, the empirical distribution is normal. The command rnorm() generates random numbers that follow normal distribution, as many of them as stated in the argument. Fu...When the dots follow the line closely, the empirical distribution is normal. The command rnorm() generates random numbers that follow normal distribution, as many of them as stated in the argument. Function ks.test() accepts any type of the second argument and therefore could be used to check how reliable is to approximate current distribution with any theoretical distribution, not necessarily normal. If this notation is not comfortable to you, there is a way to get rid of it:
This page discusses the F distribution, crucial for comparing variances in contexts like ANOVA. It covers the F test for variance equality, highlighting the need for normality and independence, with t...This page discusses the F distribution, crucial for comparing variances in contexts like ANOVA. It covers the F test for variance equality, highlighting the need for normality and independence, with the F statistic as a ratio of sample variances compared to critical values.
