This paper aims to test the module ILOs using a practical real-life case-study. In this case study, you are going to play the role of an analyst for one of the corporates, let us call it Company-Z. Therefore, let us first introduce the case-study random variables: is the Company-Z monthly revenue along the period Pre-COVID-19(January 2018 to December 2019); is the same Company-Z monthly revenue but during the period Post-COVID-19(March 2020 to September 2020); is the monthly operations cost during the period Pre-COVID-19(January 2018 to December 2019); while is the same monthly operations cost but during the period Post-COVID-19(March 2020 to September 2020). Accordingly, in your analysis, you will depend on two main random variables over two time series. The first random variable is the Company-Z monthly revenue , and the second random variable is the Company-Z monthly operations cost . The two random variables were chosen over two periods of time: the first is (Pre-COVID-19: January 2018 to December 2019), and the second is (Post-COVID-19: March 2020 to September 2020). Your task is to prepare a comprehensive report to the company, fulfilling specific requirements outlined below in point (3). What is the appropriate technique to test the following two hypotheses arguing: that the population mean of the monthly operations cost is 0.9 times the value of the average monthly operations cost during the period Pre-COVID-19, and the population mean of the monthly operations cost is 1.3 times the value of the average monthly operations cost during the period Post-COVID-19. Write the full analytical steps to find the appropriate decision for both hypotheses, as well as comment on the results?