trying to do a t-test to see whether the average response time across complaint types is similar or not

Question

set1 = df[(df['Complaint Type'] == 'Blocked Driveway')]
set1.reset_index(inplace = True)

set2 = df[(df[Çomplaint Type'] == 'Drinking')]
set2.reset_index(inplace = True)

ttest_ind(set1['Request_Closing_Time'], set2['Request_Closing_Time'])

when I run the ttest, I get an error.

TypeError: unfunc multiply cannot use operands with types dtype('<m8[ns]) and dtype('<m8[ns])

Does this answer your question? [dtype(' – mkrieger1 Jun 10 '20 at 17:36 — mkrieger1, Jun 10 '20 at 17:36

score 0 · Answer 1 · answered Jun 10 '20 at 19:55

0

Line starting with set2 is missing a single quote.

set2 = df[(df[‘Çomplaint Type'] == 'Drinking')]

answered Jun 10 '20 at 19:55

Marichyasana

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The quote I added should be the same as the others, not on my keyboard. – Marichyasana Jun 10 '20 at 19:59

trying to do a t-test to see whether the average response time across complaint types is similar or not

1 Answers1