# data[].attributes.body
When we broke the news to our experimented units they were shocked at the results. Since we tested a product already made it did not go to market. The only money lost was to pay our salaries and the cost of materials. We were contacted by the doctors to do a show segment and talk about our experiment. We were able to talk about the impact of caffeine and how we should be cautious of the amount of coffee we intake.

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Our salary was $300 a day and our teams salary made $10 an hour. For three hours it would be $30 since there was three hours of experimentation. The coffee was $20 and the cups cost $4 , the creamer cost $8. The units volunteered so we did not pay them.

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The difference betweenness highest and lowest was 0.46 with the margin being 10.

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We could use a different 100 students who were either Juniors, Sophimores or Freshmen. We would split them again by gender and reduce the sameness experiment by giving the makes caffeine efficient and the females no caffeine.

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Our margin of error is 10 because it’s a bigger number so that it can be statistically significant.

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We matched paired subjects by gender.

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The study is blind the experimenter is aware of the products given to each groups but the units weren’t.

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Fake coffee drink. It will be put into a styrofoam cup with two tablespoons of creamer just like the normal coffee will be. It will be a control group that shows the average sleeping of teens.

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If they have trouble sleeping, they don’t react to caffeine, they have a baby living in their house, they will be randomized by using a random number generator and split them into two groups based on gender.

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How much sleep they got that night

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Amount of coffee consumed

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Caffeinated coffee versus decaffenated coffee.

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Offer free coffee three times throughout the school day to the voulunteers but, half get non caffeinated coffee whereas the other gets caffeinated coffee.

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100 high school senior volunteers
50 male
50 female

# data[].attributes.headline
Does caffeine consumption effect how much you sleep?

# data[].attributes.subject
Does caffeine consumption effect how much you sleep?