Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
26 20 19 19 20 25 25 22 26 22 17 22 19 24 26 21 13 26 20 22 14 21 7 23 17 25 25 19 20 23 22 22 21 15 20 22 18 20 28 22 18 23 20 25 26 15 17 23 21 13 18 19 22 16 24 18 20 24 14 22 24 18 21 23 17 22 24 21 22 16 21 23 22 24 24 16 16 21 26 15 25 18 23 20 17 25 24 17 19 20 15 27 22 23 16 19 25 19 19 26 21 20 24 22 20 18 18 24 24 22 23 22 20 18 25 18 16 20 19 15 19 19 16 17 28 23 25 20 17 23 16 23 11 18 24 23 21 16 24 23 18 20 9 24 25 20 21 25 22 21 21 22 27 24 24 21 18 16 22 20 18 20
Alternative
two.sided
two.sided
less
greater
Confidence
Null Hypothesis
R Code
par2 <- as.numeric(par2) par3 <- as.numeric(par3) (tt <- t.test(x,mu=par3,alternative=par1,conf.level=par2)) load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'One Sample t-test',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'H0',header=TRUE) a<-table.element(a,tt$null.value) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Alternative',header=TRUE) a<-table.element(a,tt$alternative) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'CI',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Sample Mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'T-Test',header=TRUE) a<-table.element(a,tt$statistic) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'DF',header=TRUE) a<-table.element(a,tt$parameter) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'P-Value',header=TRUE) a<-table.element(a,tt$p.value) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation