NOTE: This is a coding problem that is supposed to be done in the programming language R.

The statement x <- rchisq(n, 1) generates n random values from a chi-squared distribution with one degree of freedom. The statement x <- rt(n, 1) generates n random values from a t-distribution with one degree of freedom. Make normal probability plots using 30 random values for various degrees of freedom from each of these distributions. Approximately how large degrees of freedom is necessary, in each instance, to obtain a consistent normal distribution shape?