# data[].attributes.body
Does the consumption of chocolate vs. gum affect test results?

# data[].attributes.body
We randomly found 400 male and female students attending Boulder Creek High School.

# data[].attributes.body
Our explanatory variable was which treatment each unit received, chocolate or gum.

# data[].attributes.body
At the end of the third day test period, we gathered the results to see if chocolate had an effect or not on the experimental units.

# data[].attributes.body
Our control group is the participants within each block who will randomly be selected to have a piece of gum. In this experiment, we do not have a placebo, as it is not possible/needed in this type of experiment.

# data[].attributes.body
200 randomly selected males were assigned to take one piece of chocolate or gum before taking sample tests and another 200 randomly selected females, were selected to take one piece of chocolate or gum before the same sample tests.

# data[].attributes.body
Our experimental units were found at Boulder Creek High School, randomly selected by their ID numbers through a random number generator. Each student willing to participate in our experiment

# data[].attributes.body
In this experiment, we are not able to blind the experimental units, because they will be aware of which treatment they are recieving. Double Blind would not work either, as those who are chewing the gum would be noticeable, and we would then all know who is in which treatment group.

# data[].attributes.body
In this experiment we grouped based on gender. Then randomly assigned within the two blocks to take both treatments - the piece of chocolate or the piece of gum. This method will help us compare results when we are done.

# data[].attributes.body
With a sample size of 400, our margin of error at 5%

# data[].attributes.body
We had Boulder Creek give us a list of all the student ID numbers. We entered into a random number generator to gather each 200 male and female students. Potiental lurking variables deal with a difference in education levels and age. By randomizing we can reduce the impacts of that.

# data[].attributes.body
We randomized all 400 people and the results are statistically significant as a 12 point difference could not be achieved by random chance.

# data[].attributes.body
Our results came to be published in school district magazines for test boosters. Most of the participants continued to use our treatment of chocolate to help them do better on tests. Chocolate is now marked as a beneficial mind influencer for educational purposes in the Deer Valley Unified School District.

# data[].attributes.body
At the end of the third day test period the average for those who ate chocolate before testing was 95. The average for the control group (gum chewers) was 83. The chocolate group brought the test scores up by 12 more points.

# data[].attributes.body
Samantha Roster sharing her experience as a subject in this study

# data[].attributes.body
We will replicate this study with 400 new students, to confirm the results are valid and significant, and we will find a different school.