
    cps <- read.table("http://s3.amazonaws.com/assets.datacamp.com/production/course_1276/datasets/cps_ch3.csv", header = T, sep = ";")


           # compute the t statistic by hand and assign it to tstat
           
           
           # use tstat to accept or reject the null


           # compute the t statistic by hand and assign it to tstat
           tstat <- (mean(cps$ahe12)-23.5)/(sd(cps$ahe12)/sqrt(length(cps$ahe12)))
           
           # use tstat to accept or reject the null
           tstat > qnorm(0.95)


           test_object("tstat")
           test_or({
           test_function_result("qnorm")
           },{
           test_student_typed("1-pnorm(tstat)")
           },{
           test_student_typed("pnorm(tstat, lower.tail = F)")
           })
           test_or(test_output_contains("T"), test_output_contains("F"))