In msperlin/afedR: Data and Functions for Book "Analyzing Financial and Economical Data with R"

set.seed(10)
x <- rnorm(n = 1000, mean = 10, sd = 10)

my_group <- cut(x, 
                breaks = c(-Inf, 15, Inf))

# solution
my_sol <- table(my_group)[1]

my_answers <- make_random_answers(my_sol)

#check_answers(my_answers)

Question

Using set.seed (10), create an object called x with random values from the Normal distribution with a mean of 10 and standard deviation of 10. Using the cut function, create another object that defines two groups based on values of x greater than 15 and lower than 15. How many observations you find in the first group?

exams::answerlist(my_answers, markup = "markdown")

Solution

Meta-information

extype: num exsolution: r my_sol exname: "numeric " exshuffle: TRUE

msperlin/afedR documentation built on Sept. 11, 2022, 9:49 a.m.