Question

Set the seed to 2035 and take a simple random sample of size 30 from the college data frame. Save the random sample of college as a separate R object named "sample_0," and print the first six rows to ensure it was saved correctly. This observed sample data will be treated as a representation of the population dataset "college."

Answer 1

To take a simple random sample from the 'college' data frame in R, set the seed for reproducibility, use the 'sample' function to draw 30 observations, and assign the result to 'sample_0'. Then, use 'head' to print the first six rows.

Step-by-step explanation:

To take a simple random sample of size 30 from the 'college' data frame and save it as an R object named "sample_0", you would typically use the following R code:

1. Set the seed to ensure reproducibility of results:
   set.seed(2035)
2. Draw a random sample of 30 observations from the 'college' data frame:
   sample_0 <- college[sample(nrow(college), 30), ]
3. Print the first six rows of your sample to check it's correct:
   head(sample_0)

By setting the seed to a specific number, you ensure that the random selection is reproducible; someone else using the same code and seed will get the same sample. This observed sample data is considered to be representative of the population from which it is drawn, assuming 'college' represents the entire dataset.