Final answer:
The Wilcoxon Signed Rank Test is harder to calculate p-values for because it is a nonparametric test that involves ranking the data and a more complex calculation of the p-value. McNemar's test is a parametric test that does not require ranking the data.
Step-by-step explanation:
The Wilcoxon Signed Rank Test is harder to calculate p-values for because it is a nonparametric test that relies on ranking the data. This means that instead of working with the actual data values, you need to assign ranks to them. This process can be more complex compared to McNemar's test, which is a parametric test.
When calculating p-values for the Wilcoxon Signed Rank Test, you need to consider the distribution of the test statistic under the null hypothesis. This involves summing the probabilities of observing a test statistic as extreme as the observed value, given the null hypothesis is true. This calculation requires more steps and can be more intricate compared to the straightforward calculation used in McNemar's test.
Overall, the Wilcoxon Signed Rank Test is harder to calculate p-values for because it is a nonparametric test that involves ranking the data and involves a more complex calculation of the p-value compared to McNemar's test.