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Methodology

Our Method:

  • Total of 32 participants.
  • Collect age, height, weight and compute BMI.
  • Participants perform the YMCA Step Test.
  • 3 minutes of stepping on a 12in step box.
  • upon completion, heart rate was recorded immediately after for one full minute.

Introduction

The purpose of our study was to determine if BMI & gender affects heart rate.

Hypothesis

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.

YMCA Step Test.

Parameter/Population/Sample/Statistics

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.

Independent & Dependent Variables

Descriptives

Age: 20.91 ± 2.038

Heart rate: 103.19 ± 19.209 Beats/Min

Student Subjects: 16.50 ± 9.381

Data Chart

IV: Subjects, Gender, BMI

DV: Heart Rate, Ratings

Presenters:

Hayley Boiteau

Yanine Ramirez

Alex Rivera

Amanda Rodriguez

Probability / Error

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.

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