Fisher's method in SciPy
Suppose you read five different papers on the role of a healthy diet on cancer diagnoses, with reported p-values loaded in the list p_values = [0.04, 0.13, 0.001, 0.09, 0.01]. In each case the papers are all assessing the null hypothesis that healthy diet has no relationship on cancer diagnosis, while the alternative is that there is a relationship.
Use these p-values in Fisher's method using SciPy.
The package stats from SciPy have been loaded for you.
This exercise is part of the course
Foundations of Inference in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Compute the combined p-value and the p-value for this test
test_statistic, p_value = ____
# Print out the p-value for the test
____('Test p-value = ', ____)
# Print out if the p-value is signifcant at 5%
____