A t-test is a type of significance test that one conducts when the standard deviation of the population is unknown.
Step 1: State hypotheses
State the significance level and if the test is 1- or 2-sided.
Step 2: State assumptions
The assumptions are:
- The sample is normal
- The sample is an SRS
Step 3: Calculate stuff
where the last radical can be ignored if Degrees of freedom is n-1 P-value=tCdf(test statistic, , degrees of freedom)
Step 4: State conclusion
If the P-value is less than the significance level, we say: There is sufficient sample evidence to reject the null(or something similar). If not, we say: There is insufficient sample evidence to reject the null(or something similar)