# Experimental Paper

Topics: Experiment, Statistics, Science Pages: 1 (379 words) Published: July 23, 2011
As per recent research done by the U.S Psychology department, it shows “there is a positive correlation between the volume of cream consumed per capita in the US and the rate of drowning deaths in the U.S.” In my experiment I will use two (2) groups consisting of twenty (20) individuals from ages fifteen (15) to thirty-five (35) years-old. Both groups will have equivalent numbers of males and females and they will all have the basic knowledge of swimming. Group one, the experimental group will have ten (10) males and ten(10) females and group two, the control group will also have the same number of males and females. They are picked at random from ages 15 to 35. A regular swimming pool is used. On the day of experimenting both groups will be allow to consume a light breakfast and strictly NO caffeine drinks. My independent variable will be eating ice cream versus not eating ice cream. My dependent variable will be drowning. My third variable will be the pool temperature. The pool temperature will be set to 79 degrees for group one. Group one, the experimental group will be asked to swim or stay in the pool for one (1) hour. After one (1) hour expires they will then be allowed out and each given 3 scoops of ice cream. They will have the option of vanilla, chocolate or strawberry. They will then be given exactly ten 10 minutes to consume their ice cream and return back to the pool. The pool temperature will be set to 67 degrees for group two. Group two, the control group will also be asked to swim or stay in the pool for one (1) hour. After one (1) hour expires they will then be allowed out of the pool for 10 minutes. After ten (10) minutes, they will then be asked to return to the pool. Both groups will be observed and data will be recorded. It is quite disturbing to put a human’s life in danger to obtain better understanding of this theory. Someone will have die in order to prove this point. This experiment will be statistically significant...