Background - "Every-day Learning Recruitment Process Every-day Learning is a private education group that offers various enrichment and tutoring courses for different age groups of students in Singapore and a few overseas markets. Due to the growing demand and enrolment as well as the employee turnover during the Covid-19 pandemic, the group regularly recruitments both tutors/teachers and executives to teach/develop and manage various courses. Course managers have complained that the Human Resource (HR) department is not recruiting the staff fast enough to serve the growing demand. The HR Director - Lucy Tan looked into the matter to improve the recruitment process. Lucy came to know that you have completed a Lean Six Sigma course. On 1 August 2022, Lucy called you into her office and appointed you to lead a Lean Six Sigma project team to improve the recruitment process to reduce the average time taken to recruit staff in the organisation by at least 30% in three months. Your team is provided with a sample of recruitment records in year 2021. Please use the JMP Statistical Software and the data file "BUS366_GBA_Recruitment_Jul2022.xlsx" for your analysis. You are expected to do some data computation before analysing the data. Here is some information regarding the organisation's recruitment process: Every-day Learning directly recruits staff without engaging the service of any recruitment agencies. . Every-day Learning does not have a HR IT system to manage the recruitment process. Email is the main means of communications. Every-day Learning can apply work or employment passes for foreign employees. The targeted recruitment duration is 21 calendar days from recruitment request to employment contract signed. Question 1 (a) The CTQ and the improvement objective for this project have been identified in the Define phase in the previous assignment. Examine the operational definition of the CTQ. Recommend appropriate charts to measure the baseline performance of the CTQ using the data in the BUS366_GBA_Recruitment_Jul2022.xlsx". Interpret your observation from the baseline performance chart.