Directions: Follow along with the slides and answer the questions in red font in your journal.
In many circumstances, there's simply no feasible way to gather data about everyone in a population.
In this lab, we'll learn how sampling methods affect how representative a sample is of a population.
cdcdata as a sample for young people in the United States.
Rand fill in the blanks to take a convenience sample of the first 50 people in the data:
s1 <- slice(____, 1:____)
bargraphfor the number of people in each
gradefor your sample would look similar when compared to the whole
cdcdata and your convenience sample and write down how they differ.
cdcdata, without replacement. Call this new sample
___ <- sample(___, size = ___, replace = ___)
gradefor this random sample will look more or less similar to the distribution from the whole
gradebased on this random sample to check your prediction.
gradebased on each of the following sample sizes: 10, 100, 1,000, 10,000.
tally()the proportion of
grades for your convenience sample and all your random samples.