In physiology, an objective measure of aerobic fitness is how efficiently absorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo research wherein subjects participated in a predetermined exercise run Measurements of oxygen consumption as well as several other variables gender, runtime, resting and maximum pulse rates, and weight were reco randomly selected gym members. Dr. Castillejo is interested in determining of these other variables can help predict oxygen consumption. She be possible link between these factors will help her determine how to improve her gym members. o in developing a proposal for the improvement of her gym members' health c cribed below. her male or female he to run 1.5 miles (in min) the gym member in years ght of the gym member (in kg) sumption - measure of the ability to use oxygen in the blood stream (in ml/min) resting pulse rate (in bpm) ulse - maximum pulse rate during the run (in bpm)

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

answer and discuss properly

H
In physiology, an objective measure of aerobic fitness is how efficiently the body can
absorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted a
research wherein subjects participated in a predetermined exercise run of 1.5 miles.
Measurements of oxygen consumption as well as several other variables such as age,
gender, runtime, resting and maximum pulse rates, and weight were recorded from 50
randomly selected gym members. Dr. Castillejo is interested in determining whether any
of these other variables can help predict oxygen consumption. She believes that a
possible link between these factors will help her determine how to improve the health of
her gym members.
Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. The
variables are described below.
gender- either male or female
runtime-time to run 1.5 miles (in min)
age - age of the gym member in years
weight - weight of the gym member (in kg)
oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min)
rest pulse - resting pulse rate (in bpm)
maximum pulse - maximum pulse rate during the run (in bpm)
Transcribed Image Text:H In physiology, an objective measure of aerobic fitness is how efficiently the body can absorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted a research wherein subjects participated in a predetermined exercise run of 1.5 miles. Measurements of oxygen consumption as well as several other variables such as age, gender, runtime, resting and maximum pulse rates, and weight were recorded from 50 randomly selected gym members. Dr. Castillejo is interested in determining whether any of these other variables can help predict oxygen consumption. She believes that a possible link between these factors will help her determine how to improve the health of her gym members. Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. The variables are described below. gender- either male or female runtime-time to run 1.5 miles (in min) age - age of the gym member in years weight - weight of the gym member (in kg) oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min) rest pulse - resting pulse rate (in bpm) maximum pulse - maximum pulse rate during the run (in bpm)
3. According to the study of Fitbit, a company producing fitness trackers, women typically have higher resting
heart rates. Use the R commander output below to test if the same result applies to Dr. Castillejo's gym
members. Write a brief report about the analysis by identifying the set of hypotheses to be tested, the
appropriate test to use, and implications and recommendations of/from the conclusions.
R COMMANDER OUTPUT
R COMMANDER OUTPUT
Shapiro-Wilk normality test
data: restpulse_male
Shapiro-Wilk normality test
restpulse_female
data:
W = 0.96948, p-value = 0.72155
W = 0.94898, p-value = 0.17212
R COMMANDER OUTPUT
F test to compare two variances
data: restpulse_male and restpulse_female
F = 1.3110, num df = 20, denom df = 28, p-value = 0.5002
Alternative hypothesis: true ratio of variances is not equal to 1
R COMMANDER OUTPUT
parametric test
data: restpulse_female and restpulse_male
(Female - Male) t = 0.94747, df = 48, p-value = 0.174123
alternative hypothesis: true difference in means is greater than 0.
R COMMANDER OUTPUT
non-parametric test
data: restpulse_female and restpulse_male
(Female - Male) z = -0.84521, df = 48, p-value = 0.19766
alternative hypothesis: true location shift is greater than 0
Transcribed Image Text:3. According to the study of Fitbit, a company producing fitness trackers, women typically have higher resting heart rates. Use the R commander output below to test if the same result applies to Dr. Castillejo's gym members. Write a brief report about the analysis by identifying the set of hypotheses to be tested, the appropriate test to use, and implications and recommendations of/from the conclusions. R COMMANDER OUTPUT R COMMANDER OUTPUT Shapiro-Wilk normality test data: restpulse_male Shapiro-Wilk normality test restpulse_female data: W = 0.96948, p-value = 0.72155 W = 0.94898, p-value = 0.17212 R COMMANDER OUTPUT F test to compare two variances data: restpulse_male and restpulse_female F = 1.3110, num df = 20, denom df = 28, p-value = 0.5002 Alternative hypothesis: true ratio of variances is not equal to 1 R COMMANDER OUTPUT parametric test data: restpulse_female and restpulse_male (Female - Male) t = 0.94747, df = 48, p-value = 0.174123 alternative hypothesis: true difference in means is greater than 0. R COMMANDER OUTPUT non-parametric test data: restpulse_female and restpulse_male (Female - Male) z = -0.84521, df = 48, p-value = 0.19766 alternative hypothesis: true location shift is greater than 0
Expert Solution
steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman