Accessthe Call Center Waiting Time file.Each row in the database corresponds to a different call. The column variables are as follows:

• ProtocolType: indicates protocol type, either PT or PE
• QueueTime: Time in Queue, in seconds
• ServiceTime: Service Time, in seconds
• Performa test of hypothesis to determine whether the averageTiQis lower than the industry standard of 2.5 minutes (150 seconds).Usea significance level of =0.05.
• Evaluateif the company should allocate more resources to improve its averageTiQ.
• Performa test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level of =0.05.
• Assessif the new protocol served its purpose. (Hint: this should be a test of means for 2 independent groups.)
• Submityour calculations anda175-wordsummary of your conclusions.

Data Found https://docs.google.com/spreadsheets/d/1OxiCrL6qwQqzDz-7yvrlZAvMdHLmJuYm7GBAocOFCEU/edit?usp=sharing

Need help understanding how to perform data testing and measure against hypotheses.