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  1. For example dnorm is the height of the density of a normal curve while dbinom returns the probability of an outcome of a binomial distribution. Here is a table of these commands.

  2. Here, we will focus on four R functions that are associated with the binomial distribution. The easiest way to search for functions that are new to you is to use the help.search() function, …

  3. In R terminology the r in rbinom stands for random, i.e. rbinom() generates random samples from the binomial distribution. dbinom() computes the pmf and pbinom() computes the cdf.

  4. # The format is dbinom(x, n, pi), where a = number of heads out of n tosses of a # coin, and pi = prob of head. For example, dbinom(0, 100, 0.005) # returns the value of the distribution (pmf) …

  5. Under Help choose Manuals (in PDF) and choose An introduction to R. This can get you started. If you want to use R for your homework, I'll give you a skeleton set of commands to get the …

  6. SAS calculates probabilities for distributions using the PDF function (which stands for \probability distribution function"). R uses the function dbinom for calculating probabilities from the …

  7. What about 12 or fewer sold are laceless. Finally, 13 or more are laceless. To answer this, we let X be the number of laceless shoes sold. We assume that X is binomial with n = 50 and p = …