What ‘stats’ does Dymension have – explain t-test?
Student t-test We use this test for comparing the means of two treatments, even if they have different numbers of replicates. In simple terms, the t-test compares the actual difference between two means in relation to the variation in the data (expressed as the standard deviation of the difference between the means). What does this mean in “real” terms? Statistical tests allow us to make statements with a degree of precision, but cannot actually prove or disprove anything. A significant result at the 95% probability level tells us that our data are good enough to support a conclusion with 95% confidence (but there is a 1 in 20 chance of being wrong). In biological work we accept this level of significance as being reasonable. A student’s t-test is used for populations where the sample size is small. The P values range from 0 to 1 and the closer the value to 1 the more insignificant the match is deemed. If the results of the Dymension analysis indicate high P values then the user needs
