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Question/Goal of Experiment

Does temperature of classrooms effect test scores?

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Experimental Units

Our experimental units were 60 random students who were juniors.

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Selection Method

The juniors were randomly selected by putting their already assigned ID numbers in a random number generator. From there they were randomly split into 3 groups, with 20 students in each group.

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Treatments

We set the temperature of the cold classroom to 65 degrees Fahrenheit. The next classroom was the control and had no A/C, it remained at 75 degrees Fahrenheit. The last classroom was the hot classroom and was kept at 85 degrees Fahrenheit.

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Explanatory Variable

Our explanatory variable is the temperature of the classroom the students tested in.

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Control Group

The classroom with no A/C will be our control. It will be at a neutral temperature of 75 degrees Fahrenheit.

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Response Variable

We will score the tests to see how well the students did on the test, to see if the temperature had an effect.

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Replication

This study could be replicated in the future with a different group of students or the same students by putting them in a different class setting. The study could be replicated with students from different grades and more students overall too. There was such a small number of students to begin with so replication is most likely necessary. Replication helps add confidence in the results that were originally found.

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Blind/Double-Blind

Our students will be blind in the experiment, so they won’t know which classroom they have before hand. We do not have a double-bling though, researchers running the experiment will be aware of which classroom is which and what group goes where.

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Sample Size/Margin of Error

We are running this study with a total of 60 students. Our margin of error is 12.9 which is large. A larger margin of error is not ideal but gathering more students who are willing to participate and wouldn’t be missing important class work would be more difficult and time consuming.

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Randomization/Lurking Variables

We randomized the students when splitting them into groups to ensure there was a variety in gender. We still have lurking variables like what temperature the students are used to or how each student is dressed.

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Statistical significance

According to the data, the sample size was not big enough to show a considerable outcome. A bigger sample size would make the experiment more effective, however there was a major significance in the 85F treatment. The subjects achieved a much lower score because it was too hot in the room.

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Results

We will focus on replicating the experiment into many different location with a bigger sample size in the future. Our first results showed that subjects has a much harder time achieving an a over average score in the 85F treatment room because it was way too hot and the subjects couldn’t think, and focus comfortably.