Example: I am wondering if the senior class would rather have two bouncy slides and one photo booth, or two photo booths and one bouncy slide at their senior night, the night of graduation. However, I it would take too much time to interview every single senior in the school, and I would have to account for people being absent on the day I survey if I was to do it in person, and I would risk having non-response bias if I was to send out a Google Forms survey to all of the seniors by email. Instead, I am going to use a combination of the three principles of experiment (survey, in this case) design and SRS to obtain the results I want. I will assign each senior a three digit number, 1-300 (or how many total seniors there are); the numbers will be assigned alphabetically. Using a random number table, I will select my starting line, which will be line 125 in this case. I am going to select digits, one at a time, between 001 and 300, excluding 000 and 301-999. I will stop recording my numbers after my 50th success, as I want to base the results of my survey off of 50 random responses in my subjects. I will have no repeat numbers, to ensure no one votes twice. After I receive my 50 numbers, I will look at my class list, and match up the numbers with the names. I will then reach out to all 50 seniors, either by text or email, until I get responses from all 50. In the case that a subject doesn’t reply, I will dismiss this response and not count the non-response bias in my analysis.