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The final results and data collected throughout the experiment states that the caffeine drinkers have more of a endurance level that can cope with a long day. Properly brewed filtered coffee gave one group an overall lift and maintained energy level as non coffee drinkers do have energy but nothing compared to the caffeine of a cup of coffee.

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By observing the groups the average distance ran by both groups, the group who drank coffee could run 100 meters further than the control group. This is concluding that the group who drank coffee had more energy and ran the extra mileage quicker.

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While having the 100 volunteers ready for the experiment we will run the same experiment with larger or smaller or the same group members to make sure our data is correct and reasonable.

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The best way we thought about doing this experiment was dividing 50 upperclassmen high school students and 50 underclassmen.

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While being blind folded, individuals will be separated into two groups and us as researchers will give them a treatment of coffee and a placebo which is decaf coffee. Watching and collected their data behavior we will detect their energy level over a short period of time and the volunteers will not know whether or not we gave them actual coffee or not.

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In our experiment a lurking variable might include: hours of sleep per night, athletic, drug user, handles stress level, amount of social interaction, non coffee drinkers, family history of depression, any medical conditions that has a side effect of fatigued.

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The control group is the placebo which is the one group that is receiving decaf coffee.

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For the experiment we split up the large group into smaller groups one group is upperclassmen, and the other group is underclasmen.

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The response variable out of the experiment is the individual’s energy. In statistics, a response variable is the variable about what a researcher is asking a question us as the researchers want to know of this variable “energy” responds to other factors being examined.

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According to our research and the way we have set up this experiment the explanatory variable is the coffee. The reason is because coffee is the type of independent variable and due to this this makes coffee not affected by any other variables.

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One half of the students selected from the simple random surveyed will be handed a cup of coffee, the other half of individual will be handed a placebo for coffee that they think is coffee. As researchers we as a group will collect their data based on behavior and prove the results and answer the essential question.

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In order for our experiment to have positive and reliable data we as a group need to include the high school students, coffee, and placebo.

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For our experiment the best and most reasonable method we chose was simple random method. The reason is it’s easier to cut a smaller sample size from a larger population and use it to research and make generalizations about the larger group.

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Does a cup of coffee make a difference in an individual’s energy over someone who doesn’t drink coffee?