Difference between revisions of "T-test"
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Latest revision as of 18:20, 28 July 2025
A t-test is a type of significance test that one conducts when the standard deviation of the population is unknown.
Contents
Procedures
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)
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