Prof Randi Garcia
January 5, 2021
Get in breakout groups of ~8 we will discuss.
As you participate in the experiment at the link below, remember:
To participate, find the experiment link in the course schedule!! http://bit.ly/sds290interterm21
In your groups:
Discussion questions:
Think about all of the reasons calmness scores may differ (vary).
If we suspect there is unplanned, systematic variability, we should do what we can to turn it into planned, systematic, or chance-like variability
I want to test if smelling a tasty food (fresh cinnamon rolls) versus a non-tasty food (broccoli) has an effect on salivation in humans. So, I recruit some participants to come to my lab, I'll have to bake the cinnamon rolls and run that condition all at once, so I decide that I will bake my rolls at 9a, then from 10a-12p I will run the cinnamon roll condition. I bring people into individual distraction free rooms, hook them up to the salivation sensor, then bring them a plate with a freshly baked cinnamon roll. I record their salivation. Then, I will run the broccoli from 1p-3p, using the same measurement procedure.
Are there any confounding variables in my study?
Our data will be “off” in a systematic, non-random, way
Design 1: Randomized Basic Factorial Design
Design 2: One-Way Complete Block Design
Design 3: Two-Way Basic Factorial Design
Design 4: Split Plot/Repeated Measures Design
Randomized Basic Factorial Design BF[1]
The shelf life of meats is the time a prepackaged cut remains salable, safe, and nutritious. Recent studies suggested controlled gas atmospheres as possible alternatives to existing packaging. To test this, beef steaks (75\( g \)) were randomly assigned to packaging with either 1) ambient air in a commercial plastic wrap, 2) vacuum packed, 3) 100% carbon dioxide (\( CO_2 \)), or 4) a mixture of 1% carbon monoxide (CO), 40% oxygen (\( O_2 \)), and 59% nitrogen (N). The number of psychrotrophic bacteria on the meat was measured after nine days of storage at 4 degrees C.