I need help in SMDM project case study of the below in Python code

In Mar 2018, Cold Storage started getting complaints from their clients that they have been getting complaints from end consumers of the dairy products going sour and often smelling. On getting these complaints, the supervisor

pulls out data of the last 35 days' temperatures. As a safety measure, the Supervisor has been vigilant to maintain the mean temperature 3.9 C or below.

Assume 3.9 C as the upper acceptable mean temperature and at alpha = 0.1 do you feel that there is a need for some corrective action in the Cold Storage Plant or is it that the problem is from the procurement side from where Cold Storage is getting the Dairy Products. The data of the last 35 days is in

"Cold_Storage_Mar2018_.csv"

1. Which Hypothesis test shall be performed to check if corrective action is needed at the cold storage plant? Justify your answer

2 State the Hypothesis and do the necessary calculations to accept or reject the corresponding null

hypothesis.

3 Give your inference.