--Original published at Site Title
A strength of this exercise was a double-blinded procedure where neither the participate nor the one giving the soda, as well as the information collector knew what type of soda was given in each cup. Another strong suit of this experiment was having the tester clean his or her palate with water after each sample.
A weaknesses or limitation of this experiment could have been the ability to smell the drink. Smelling incorporated another outside factor that could help students more easily identify soda type, as some said the two types had different smells. Another limitation was the experiment didn’t represent the population of students as a whole, instead it was tested upon those who were already soda drinkers.
Confounding variables in this experiment could be that students chosen were those who had a bias towards a specific soda type. Another could be the smell factor or the ability to identify color differences between the two drinks. The opinions of others in the hall questioning if their tester was positive of a choice or causing them to second guess themselves could have been a confounding variable as well.
The conclusion we came up with was that the difference between Coke and Pepsi could not be identified between individuals. This conclusion was valid for my group receiving 2 right answers out of 5 correct. The rest of our class had similar results, except for one group who correctly identified all the samples. We also had to consider that getting none right would also mean that you could differentiate correctly but that you just got the sodas mixed up.
One changes I would make to the experiment is opening to the whole class to participate. That way there is an equal chance for all students to participate and their is no systematic bias. Another change I would make would be limiting other factors like smell and sight so they can’t influence the decisions. Each member of the group not being able to talk to one another could help give better results as well. Increasing the size of participants would give better results for a whole population we are testing. Lastly, giving the tester more time in between drinks could help them to get the taste of the last soda out of there mouths.
