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Our Method:
The purpose of our study was to determine if BMI & gender affects heart rate.
Null Hypothesis: μ=μ
There will be no difference between males & females with a BMI >25 & <25, heart rate upon completion of the YMCA Step Test.
Alternative Hypothesis: μ≠μ
There will be a difference between males and females with BMI > 25 & <25, heart rate upon completion of the YMCA Step Test.
Research Hypothesis: We hypothesize that there will be a difference in male & female heart rates upon completion of the YMCA Step Test.
Parameter: General fitness level of college students.
Population: 20,000 CSUSB students.
Sample: 32 participants; 16 with a BMI > 25
& BMI < 25
Statstics: Completition of the YMCA Step Test.
Age: 20.91 ± 2.038
Heart rate: 103.19 ± 19.209 Beats/Min
Student Subjects: 16.50 ± 9.381
IV: Subjects, Gender, BMI
DV: Heart Rate, Ratings
Probability: We set our probability to p<0.05, which means there is a 95% chance that we will chose the correct hypothesis & a 5% chance that a type I/II error will occur.
Type I Error: If we reject our null hypothesis, & its correct / accept alternative & its wrong, then type I error occurs.
Type II Error: If we accept our null hypothesis & its wrong / reject our alternative & its right, then type II error occurs.