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The lives of the people remain unchanged, with just a little bit of knowledge that could benefit students for test taking. However, money was wasted on this  experiment.

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Team Salary-$20000 total for 20people over the course of 5 weeks
materials were $100 per person with 400 people so a total of $40,000
payment to the units-$125 per person then for 400 people with a total of $50,000
this study is not financially stable

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This study was not statistically significant because itwasted  too much money for such a low amount of knowledge and lack of proving something new.

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Caffeine overall increased test scores due to an increase and focus caused by the caffeine.

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It could be replicated to see how different types of caffeinated beverages affect test scores such as energy drinks like Monster or RedBull versus caffein or tea and thesugar  levels etc. It would give more data for comparison.

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Our sample size 400 students total with a MOE of 5 which is kind of a larger margin of error. It could benefit from a larger sample size and a decreased MOE, but the MOE isn’t horrible.

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We will use crossover design so that group A will get caffeinated drinks for two weeks with a week break before drinking decaffeinated drinks. Then the opposite with group B.

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We will use double blind so neither of the person giving and receiving the caffeinated/decaffeinated beverage.

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These are the people that get the coffee without caffeine and they will form the base of comparison for test scores with the people that have the caffeine.

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Sleep the night before and how much of what types of food might affect how the caffeine works. We are just going to pick random students from their groups.

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We are measuring test scores

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Our explanatory variable is whether or not the subjects receive caffeinated drinks or decafinated drinks

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Caffeinated drinks- Coffee
Decaffinated drinks- decaf coffee

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50 girls and 50 guys that are selected from each grade are further divided into the top 25 highest and lowest gpa for girl and guys.

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400 teenagers in highschool were randomly selected, ages 14-18, 100 from each grade and 50 girls and 50 boys from each grade.

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Does caffeinated drinks have an effect on test performance?