Calculate the T-test for the mean of ONE group of scores

This is a test for the null hypothesis that the expected value (mean) of a sample of independent observations a is equal to the given population mean, popmean.

• Input: a table containing the sample measurements, with the name of the samples.
• Output: a table listing the correlation coefficient, and its associated p-value for each pairwise comparison testing.
• Config Parameters:
  • preselected_column_names: List of columns to pre-select for pairwise comparisons. By default a maximum pre-defined number of columns are selected (see configuration).
  • expected_value: This value is compared against all the other columns means.
  • adjust_pvalue:
    • method: The correction method for p-value adjustment in multiple testing.
    • alpha: The FWER, family-wise error rate. Default is 0.05.
  • alternative_hypothesis: The alternative hypothesis chosen for the testing (two-sided, less or greater)

Example:

Let's say you have the following table.

This task performs comparisons of almost all the columns mean of the table agains an expected_value (the first 500 columns are pre-selected by default).

The expected_value will be compared with the means of A, B, C, respectively

For more details, see https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.ttest_1samp.html