Fisher Exact Test Concept Check 1.0 point possible (graded, results hidden) Recall that the Fisher's Exact Test is a statistical test for the sharp null hypothesis: Ho : Y: (0) = W. (1), for all i vs H1 : Y, (0) / Yi (1), for some i that the two potential outcomes are identically the same for all units in the sample. In each part below, select the valid characterizations of Fisher's approach to causal inference in the Fisher Exact Test. 1. What is the source of uncertainty? Uncertainty is from random sampling of observational units from the population. Uncertainty is because of the missing data: each individual is either treated or control, but not both. 2. About what is statistical inference made? @)The observed sample is drawn from a much larger population about which statistical inference is made. ()The observed sample is in fact the population about which statistical inference is made. Submit You have used 0 of 3 attempts Save Fisher's exact p-value 3.0 points possible (graded, results hidden) In the table of data below, the column labeled Y is the observed outcome and W is the indicator of treatment, i.e. W = 1 indicates that Y' in the same row is the observed outcome from a treatment unit, and W = 0 indicates that Y in the same row is the observed outcome from a control unit. Y W 0.5 1 0.2 0 0.4 0 0.7 1 Compute the test statistic T for the Fisher Exact Test. T = Conduct the two-sided Fisher Exact Test on the data above and report the p-value. Fisher's p-value: Submit You have used 0 of 3 attempts Save