R Functions for Random Sampling

The video tutorial explains how to generate random numbers in R using the 'runif' and 'sample' functions. It covers generating single and multiple random numbers, both as fractions and integers, and discusses the concept of replacement in sampling. Additionally, it demonstrates the application of these functions for non-numerical data, such as selecting random state names from a list.

What function in R is used to generate a random number within a specified range?

• rpois

• rbinom

• rnorm

• runif

What distribution does the 'runif' function in R use to generate random numbers?

• Binomial distribution

• Uniform distribution

• Poisson distribution

• Normal distribution

How can you generate multiple random numbers between 5 and 10 using 'runif'?

• By using the 'sample' function

• By specifying the number of random numbers needed

• By using a loop

• By calling the function multiple times

Which function in R is used to generate random integers?

• runif

• sample

• rpois

• rnorm

What does setting 'replace' to TRUE in the 'sample' function allow?

• Only unique values in the output

• Duplicate values in the output

• Sorting of the output

• Filtering of the output

What happens when 'replace' is set to FALSE in the 'sample' function?

• The output is filtered

• The output is sorted

• Only unique values are selected

• Duplicates are allowed

How can the 'sample' function be used in non-numerical contexts?

• By generating random numbers

• By selecting random elements from a list

• By sorting a list

• By filtering a list

What error might occur when trying to sample more elements than available in a list?

• An error due to insufficient elements

• No error, it will repeat elements

• A warning message

• The function will return NULL

How many states are there in the United States according to the video?

• 50

• 49

• 52

• 51

What is the default setting for 'replace' in the 'sample' function?

• TRUE

• FALSE

• Depends on the input

• There is no default