The studentt command will examine whether data conforms to Student’s distribution. For small sample sizes, the studentt test is preferable to normalt. You need to provide the studentt command with the following arguments:
The studentt command will return the result of a T test. It will return 0 if the test fails, 1 if the test succeeds, and it will display a summary of the test.
If you enter
you will get
*** TEST RESULT 0 *** Summary T-Test null hypothesis H0 mu1=mu2, alt. hyp. H1 mu1!=mu2. Test returns 0 if probability to observe data is less than 0.1 (null hyp. mu1=mu2 rejected with less than alpha probability error) Test returns 1 otherwise (can not reject null hypothesis) Data mean mu1=10, population mean mu2=0.5, degrees of freedom 20 alpha level 0.1, multiplier*stddev/sqrt(sample size)= 1.32534*0.02/4.47214 0
If you enter
you will get
*** TEST RESULT 1 *** Summary T-Test null hypothesis H0 mu1=mu2, alt. hyp. H1 mu1<mu2. Test returns 0 if probability to observe data is less than 0.05 (null hyp. mu1=mu2 rejected with less than alpha probability error) Test returns 1 otherwise (can not reject null hypothesis) Data mean mu1=0.48, population mean mu2=0.5, degrees of freedom 20 alpha level 0.05, multiplier*stddev/sqrt(sample size)= 1.72472*0.1/4.47214 1