Imagine that you are a marketer who designed a new product packaging for your toilet paper, and you released your product on March 2020, and sales increased significantly for March and April (compared to January and February), does this mean consumers really like your new product packaging compared to the old one? Not necessarily, because there is another factor that could have caused your sales to increase.

So how should you, as a marketer, design an experiment to really figure out the true impact of your new product packaging on consumers' liking for your product? What is this other factor that could have caused the sales of your product to increase in March and April of 2020?

Describe how you would design an experiment that tests the true impact of your new product packaging, one that effectively "controls for" that other variable (unrelated to your product packaging) that may have caused sales for toilet paper to increase in March and April of 2020.