
  cps <- read.table("http://s3.amazonaws.com/assets.datacamp.com/production/course_1276/datasets/cps_ch3.csv", header = T, sep = ";")
           tstat <- (mean(cps$ahe12)-23.5)/(sd(cps$ahe12)/sqrt(length(cps$ahe12)))


           # compute the p-value by hand and assign it to pval
           
           
           # use pval to accept or reject the null


           # compute the p-value by hand and assign it to pval
           pval <- 1-pnorm(tstat)
           
           # use pval to accept or reject the null
           pval < 0.05


           test_object("pval")
           test_or({
           test_student_typed("pval <= 0.05")
           },{
           test_student_typed("pval >= 0.05")
           },{
           test_student_typed("pval < 0.05")
           },{
           test_student_typed("pval > 0.05")
           })