The following data are for three groups of subjects who are
exposed to three different methods of exercise programs. The
dependent variable is the number of sit-up. Test the appropriate
hypothesis using alpha = .05.
Method A : 20, 18, 14, 16, 13, 19, 12 Method B: 19,
12, 13, 17, 15, 20, 14 Method C: 24, 35, 26, 29, 31,
25, 38
-. State the null hypothesis.
-. Report the result in a statistical term and interpret the
results.
-. Do you accept or reject the null hypothesis? Explain why.
The R-code is as follows
x=c(20, 18, 14, 16, 13, 19, 12 )
y=c( 19, 12, 13, 17, 15, 20, 14)
z=c(24, 35, 26, 29, 31, 25, 38)
e=c(x, y, z)
t=c(1,1,1,1,1,1,1,2,2,2,2,2,2,2,3,3,3,3,3,3,3)
d=data.frame(e, t)
a=aov(e~t,d)
summary(a)
And the Output is as follows
Df Sum Sq Mean Sq F value Pr(>F) t 1 658.3 658.3 24.1 9.74e-05 *** Residuals 19 519.0 27.3 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
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