5. In a journal on clinical nutrition, one of the findings show that the type of workout or training has varying effect on the oxygen consumption. Dr. Castillejo wants to test if the average oxygen consumption differs among three training groups. To do this, gym members were randomly assigned to one of the three groups: strength training, aerobic training, and normal training. Those in the strength-training group performed progressive weight-resistance exercises for the upper and lower body while those in the aerobic group performed alternate leg and arm cycling. Use the R commander output below to test Dr. Castillejo's claim. 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 Shapiro-Wilk normality test data: training Aerobic data: training - Normal data: training Strength W=0.86455, p-value = 0.02809 W 0.85003, p-value W 0.86494, p-value 0.008479 0.01827 Levene's Test for Homogeneity of Variance (center = "mean") DF value (>F) group 2 0.9031 0.4122 47 R COMMANDER OUTPUT Df Sum Sq Mean Sq F value One-way Analysis of Variance (ANOVA) (>F) training 2 69.59 34.79 111.8 <2e-16 *** Residuals 47 14.63 0.31 R COMMANDER OUTPUT Simultaneous Tests for General Linear Hypotheses Multiple Comparisons of Means: Tukey Contrasts Fit: axiformula exxaen.SAASUBRien training, data = anoxa) Linear Hypotheses: Estimate Std. Error t value Eg (>1t|) -2.8761 Normal Aerobic == 0 Strength Aerobic Strength Normal = 0-1.1563 0.1951 -14.744 <0.00001 *** 0.1977 -5.850 <0.00001 *** 0.1887 9.114 <0.00001 *** 0 1.7198 R COMMANDER OUTPUT Kruskal-Wallis rank sum test data: 9xxgen aneumation by training Kruskal-Wallis chi-squared= 43.497, df = 2, p-value 3.587e-10
5. In a journal on clinical nutrition, one of the findings show that the type of workout or training has varying effect on the oxygen consumption. Dr. Castillejo wants to test if the average oxygen consumption differs among three training groups. To do this, gym members were randomly assigned to one of the three groups: strength training, aerobic training, and normal training. Those in the strength-training group performed progressive weight-resistance exercises for the upper and lower body while those in the aerobic group performed alternate leg and arm cycling. Use the R commander output below to test Dr. Castillejo's claim. 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 Shapiro-Wilk normality test data: training Aerobic data: training - Normal data: training Strength W=0.86455, p-value = 0.02809 W 0.85003, p-value W 0.86494, p-value 0.008479 0.01827 Levene's Test for Homogeneity of Variance (center = "mean") DF value (>F) group 2 0.9031 0.4122 47 R COMMANDER OUTPUT Df Sum Sq Mean Sq F value One-way Analysis of Variance (ANOVA) (>F) training 2 69.59 34.79 111.8 <2e-16 *** Residuals 47 14.63 0.31 R COMMANDER OUTPUT Simultaneous Tests for General Linear Hypotheses Multiple Comparisons of Means: Tukey Contrasts Fit: axiformula exxaen.SAASUBRien training, data = anoxa) Linear Hypotheses: Estimate Std. Error t value Eg (>1t|) -2.8761 Normal Aerobic == 0 Strength Aerobic Strength Normal = 0-1.1563 0.1951 -14.744 <0.00001 *** 0.1977 -5.850 <0.00001 *** 0.1887 9.114 <0.00001 *** 0 1.7198 R COMMANDER OUTPUT Kruskal-Wallis rank sum test data: 9xxgen aneumation by training Kruskal-Wallis chi-squared= 43.497, df = 2, p-value 3.587e-10
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:5. In a journal on clinical nutrition, one of the findings show that the type of workout or training has varying
effect on the oxygen consumption. Dr. Castillejo wants to test if the average oxygen consumption differs
among three training groups. To do this, gym members were randomly assigned to one of the three
groups: strength training, aerobic training, and normal training. Those in the strength-training group
performed progressive weight-resistance exercises for the upper and lower body while those in the
aerobic group performed alternate leg and arm cycling. Use the R commander output below to test Dr.
Castillejo's claim. 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
Shapiro-Wilk normality test
data: training = Aerobic
data: training = Normal
data: training = Strength
W = 0.86455, p-value = 0.02809
W = 0.85003, p-value = 0.008479
W = 0.86494, p-value = 0.01827
Levene's Test for Homogeneity of Variance (center = "mean")
DE F value Ex(>F)
group 2 0.9031 0.4122
47
R COMMANDER OUTPUT
One-way Analysis of Variance (ANOVA)
(>F)
Df Sum Sq Mean Sq F value
2 69.59 34.79 111.8 <2e-16 ***
training
Residuals 47
14.63
0.31
R COMMANDER OUTPUT
Simultaneous Tests for General Linear Hypotheses
Multiple Comparisons of Means: Tukey Contrasts
Fit: agxfformula = oxxgen. CRASUmpien training, data = anoxa)
Linear Hypotheses:
Estimate Std. Error t value (>1t|)
-2.8761
Normal Aerobic == 0
Strength Aerobic == 0-1.1563
Strength Normal 0
0.1951 -14.744 <0.00001 ***
0.1977 -5.850 <0.00001 ***
0.1887 9.114 <0.00001 ***
1.7198
R COMMANDER OUTPUT
Kruskal-Wallis rank sum test
data: oxygen consumen by training
Kruskal-Wallis chi-squared = 43.497, df = 2, p-value = 3.587e-10
Transcribed Image Text:R COMMANDER OUTPUT
Col Mean-1
Row Mean I
Aerobic
Normal | 6.574507
0.0000*
Strength
3.098907
0.0010*
Comparison of x by group (Dunn's Test)
(No adjustment)
Normal
-3.550244
0.0002*
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