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The progress of a university is determined by the HR department who provide a favorable professional environment for collecting information and giving tangle consideration of information gathered. According to Pausits, 2015, the quality of academia and management depends on the quality of HR department and functions. In our case study, the HR department considered collecting data about the number of employees and students while benchmarking their annual pay rise because this is the only two main ends that are involved in circulation of finance in the University holding the universities' infrastructural development constant. The reason for benchmarking the pay rise comparing with 25 other universities is to have an overview of several aspects such as progress and performance of the institutions. The main need for HR department of benchmarking this information is to determine if the size of the university regarding student enrolment and the number of staffs (employees) influence the annual pay raise. By comparing at 25 universities pay rise, we can be able to carry out data analysis and determine in the universities with the highest number of enrollment (large) have the highest pay rise comparing the universities with a low enrolment (small) rate which has the least pay rise. Since of a large number of the information provided, we are going to determine the mean (average) pay rise depending on the size of the universities (Small, Medium, and large). The hypothesis will be formulating, suitable data analysis technique and recommendation will be made according to the results of the analysis.
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“Business Statistics SPSS Research Paper Example | Topics and Well Written Essays - 1000 Words”, n.d. https://studentshare.org/statistics/1702677-business-statistics-spss.
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These aspects will now be discussed.
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