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def compute_framingham_test_statistic(tbl): test_table = tbl.select(ANYCHD, TOTCHOL).group(ANYCHD, np.average) diff = test_table.column(1).take(1) - test_table.column(1).take(0) return diff Question 5 : function to simulate the test statistic under the
def compute_framingham_test_statistic(tbl):
test_table = tbl.select("ANYCHD", "TOTCHOL").group("ANYCHD", np.average)
diff = test_table.column(1).take(1) - test_table.column(1).take(0)
return diff
Question 5: function to simulate the test statistic under the null hypothesis.
Thesimulate_framingham_nullfunction should simulate the null hypothesis once (not 1000 times) and return the value of the test statistic for that simulated sample.
In[61]:
def simulate_framingham_null(): shuffled_frame = sim_table_frame = return compute_framingham_test_statistic(sim_table_frame)
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