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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

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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%
____
Edit and Run Code