polt3r replied: "The experiment strictly speaking can't be performed well, as it depends on what exercise you do, how fast your rate of metabolism is, what you ate the day before, etc. I would keep same results, and pin point the sources of error if I were you."
oikos replied: "Constant: urinating before starting
Independent Variable: type of beverage
Dependent Variable: Amount of urine
Control: drinking water
For redesign, you might rotate the groups on successive days, so that each person has a chance to test each beverage."
How should I redesign the experiment? For my biology class, we did a experiment to see how different beverages affected your urine output. One group had to drink water, another caffeine, and the third electrolytes. For the experiment, the person would wake up in the morning and go to the bathroom. Then they would drink 16 oz. of their specified beverage over the next hour. After one hour they would pee in a cup and mark how much they peed on the cup. Then they would wait a half hour. After that they would drink another eight oz. of their beverage. A half hour later they would pee in a cup and measure how much they peed. In class we measured how much each person peed both times. The results for each group were very different due to the fact that each person has a different urine output. So, for our lab right-up, we must redesign the experiment and make up for the fact that each person has a different regular urine output. How should I redesign the experiment?
bdwolfhound replied: "Collect baseline data from each participant in the experiment for say, one week using plain water as the intake fluid. Thus, you would have two data points per person over a 7-day period. The repeat this, with each participant consuming the same volume of the test beverage at the same time each day.
Comparison of test vs water data should enable you to form a good impression of the effect of the test beverage independent of volume intake. You might have enough information to see if any trend developed or if there were individual differences in fluid processing, such as for instance influences of food consumed."
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