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The experiment’s design included two sections. One section was the survey responses, and the other was the ECG measurements. In this experiment, the subjects were 18 college students. In the experiment, the independent variable was the hours of exercise and life style habits, and the dependent variable was the changes in heartrate before and after exercise. In the survey section, the survey questions asked about the subjects’ background information. These background related questions includes: Gender, Age, and medical conditions. Additionally, the questions asked about their life styles and exercise habits. Example of these questions are: The frequency of their exercise, the intensity of their exercise, and the specific type of their exercise. The survey section of the experiment was used to determine the independent variable of the subjects, which was: The hours of exercise and life style habits. Through these survey responses, the subjects were divided into two groups. One group was defined as moderate, and the other group was defined as casual. Subjects who does less than 2 hours of exercise a week were considered casual, while subjects who does more than 2 hours a week were considered moderate. Another main factor that determined the groups was the type of the exercises. Since this experiment was focused on cardiac fitness, subjects …show more content…
Furthermore, the subjects’ percent difference in BPM was calculated. The percent difference in BPM was calculated by subtracting subjects’ after exercise BPM to their before exercise BPM and then dividing the number by the subject’s BPM before exercise. A two-tailed t-test was used to yield the p-value. The p-value was used to determine the significance of the results. If the p-value is less than 0.05, than it is considered significant. If the p-value is more than 0.05, than the result of the experiment was not

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