Hello everybody. I have a statistics question: let's say that I want to compaire answers between men and women to a yes/no question but I have so much more women than men, then, it looks like I cannot use chi squared test. Would it be correct to use U test (or ranked Wilcoxon test)?? What do you think?? The code is below, than you so much!! men<-rep( 0,12 ) women <- c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) ) wilcox.test( men, women ) chisq.test( men, women ) ------ Aurora Gonz?lez Vidal Secci?n Apoyo Estad?stico. Servicio de Apoyo a la Investigaci?n (SAI). Vicerrectorado de Investigaci?n. Universidad de Murcia Edif. SACE . Campus de Espinardo. 30100 Murcia @. aurora.gonzalez2 at um.es T. 868 88 7315 F. 868 88 7302 www.um.es/sai www.um.es/ae
compare grupos dichotomus dependent variable
3 messages · AURORA GONZALEZ VIDAL, Bert Gunter, Jim Lemon
What does this have to do with R programming? Bert On Friday, August 7, 2015, AURORA GONZALEZ VIDAL <aurora.gonzalez2 at um.es> wrote:
Hello everybody. I have a statistics question:
let's say that I want to compaire answers between men and women to a yes/no
question but I have so much more women than men, then, it looks like I
cannot use chi squared test. Would it be correct to use U test (or ranked
Wilcoxon test)?? What do you think?? The code is below, than you so much!!
men<-rep( 0,12 )
women <- c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) )
wilcox.test( men, women )
chisq.test( men, women )
------
Aurora Gonz?lez Vidal
Secci?n Apoyo Estad?stico.
Servicio de Apoyo a la Investigaci?n (SAI).
Vicerrectorado de Investigaci?n.
Universidad de Murcia
Edif. SACE . Campus de Espinardo.
30100 Murcia
@. aurora.gonzalez2 at um.es <javascript:;>
T. 868 88 7315
F. 868 88 7302
www.um.es/sai
www.um.es/ae
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org <javascript:;> mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Bert Gunter "Data is not information. Information is not knowledge. And knowledge is certainly not wisdom." -- Clifford Stoll [[alternative HTML version deleted]]
Hi Aurora,
Perhaps what you are seeking is a test of proportions.
prop.test(c(sum(men),sum(women)),c(length(men),length(women)))
2-sample test for equality of proportions with continuity correction
data: c(sum(men), sum(women)) out of c(length(men), length(women))
X-squared = 1.0378e-30, df = 1, p-value = 1
alternative hypothesis: two.sided
95 percent confidence interval:
-0.02903701 0.01046116
sample estimates:
prop 1 prop 2
0.000000000 0.009287926
Warning message:
In prop.test(c(sum(men), sum(women)), c(length(men), length(women))) :
Chi-squared approximation may be incorrect
If the question was "Have you had a baby in the past year?" the answer
is not too far off, but your sample is a bit small.
Jim
On Sat, Aug 8, 2015 at 3:09 AM, AURORA GONZALEZ VIDAL
<aurora.gonzalez2 at um.es> wrote:
Hello everybody. I have a statistics question:
let's say that I want to compaire answers between men and women to a yes/no
question but I have so much more women than men, then, it looks like I
cannot use chi squared test. Would it be correct to use U test (or ranked
Wilcoxon test)?? What do you think?? The code is below, than you so much!!
men<-rep( 0,12 )
women <- c( 0,1,0,0,0,1,0,0,0,rep( 0,114 ),1,rep( 0,199 ) )
wilcox.test( men, women )
chisq.test( men, women )
------
Aurora Gonz?lez Vidal
Secci?n Apoyo Estad?stico.
Servicio de Apoyo a la Investigaci?n (SAI).
Vicerrectorado de Investigaci?n.
Universidad de Murcia
Edif. SACE . Campus de Espinardo.
30100 Murcia
@. aurora.gonzalez2 at um.es
T. 868 88 7315
F. 868 88 7302
www.um.es/sai
www.um.es/ae
[[alternative HTML version deleted]]
______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.