If you have two averages, you cannot simply conclude that one is larger than the other. Because the values are averages, they have a spread over a range of data, and there is a chance that the two averages are statistically equal even if they’re not similar. This is important when experimenting and determining which treatment generates a greater or smaller value.
In this case, with two variables, you can perform a two-sample t-test. All you have to do is access the Tanim Talino calculator below, download the sheet, and follow the instructions. The calculator can also be used for one-sample and paired t-tests.
https://docs.google.com/spreadsheets/d/1QY9LsYS5j2N5w0RN7htOyvSzIgJuZgdAVSLU925AM4A/edit?usp=sharing
Once you have entered the data, it will tell you whether to reject or fail to reject the null hypothesis. The calculator can also check for normality and homogeneity of variance when needed. These tests are usually needed for assumptions of the statistical tests that you are doing, so make sure to see whether these are needed for your specific context
Remember
The t-test helps determine whether there is a significant statistical difference between one sample as well as two paired or unpaired samples.
Tanim Talino has made the t-test simple! All you have to do is go to the link above and follow the instructions
Prior to carrying out a t-test (or most parametric tests), be sure to check whether normality and homogeneity tests are needed. These can also be carried out through the calculator.
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