Given the situation described, identify the type of sampling involved. Students at Local U are classified according to the progress toward their degree program as freshmen, sophomores, juniors, seniors and nonmatriculating, then random samples from each class are taken.

I think its systematic sampling??

Yes.

great! thanks!

You're welcome.

Did you figure out how to solve the last problem you posted -- about mean, median, mode, etc.?

still working on it...

Based on the given situation, the type of sampling involved is stratified random sampling. Here's how you can determine it:

1. Stratification: The students at Local U are classified into different categories based on their progress towards their degree program (freshmen, sophomores, juniors, seniors, and nonmatriculating).

2. Random Sampling: Random samples are taken from each of the strata (freshmen, sophomores, juniors, seniors, and nonmatriculating).

In stratified random sampling, the population is divided into homogenous subgroups (strata) based on certain characteristics, and then random samples are taken from each stratum. This approach ensures that the sample represents the whole population and allows for more accurate and reliable results.

Systematic sampling, on the other hand, involves selecting participants at fixed, regular intervals from a list or population. It does not involve dividing the population into strata based on specific characteristics.

Therefore, the appropriate type of sampling in the given situation is stratified random sampling.