BSB131-Applied Business Analytics – Statistics Assignment Help

Assignment Task

Task 

Description of Simulated Case Study 
You are working within a small consulting team that is consulting for a Brisbane-based university (you must specify a university, either Griffith, QUT or UQ) to help the client (hereafter named The University) understand more about how students choose their university and study program, and their satisfaction with their chosen university.

Background on the consulting task
The University has invested significant resources to attract students in this increasingly competitive market. The University aims to become the leading university in Queensland in terms of its research reputation. Due to the COVID-19 pandemic, the University lost significant enrolment from international markets, pushing the key decision makers within the University to refocus their efforts and investment back towards domestic students.

All key decision makers within the University have a strong belief that overall ranking and reputation is the most important factor that affects the choice of domestic students to enrol in the University across all study programs. In the past, executives were convinced that research reputation is the primary factor that determined its overall reputation and ranking. Based on this understanding, the University had shifted a significant amount of investment from teaching to research. Currently, a few decision makers have raised concerns that this could have negatively impacted its teaching reputation. They also believe that teaching reputation is equally important as research reputation from prospective students’ perspective.

The Faculty of Business has the largest number of students. The faculty has recently reformed its study programs, designing new study programs that offer a wide range of subjects that are very relevant to industry. The new programs have focus on providing future employability skills and connections to the industry. The faculty executive attributed these to its success in gaining more domestic students. Key decision makers in the University want to replicate this success in other faculties. Unfortunately, this reform in the Faculty of Business has resulted in reductions in professional staff and increased administrative work for academic staff. From a recent staff survey, the majority of professional and academic members report that more administrative work has reduced their availability for students.

Academic staff raised concerns that they did not have sufficient time and support in improving the subject matters and trying new methods to engage better with students.
Many academic staff argue that increased enrolment does not mean that students are satisfied with their business study program. They echoed that reduced class attendance leads to poor engagement, which then causes low satisfaction. They asked the faculty and university to consider significant reforms to improve class attendance because of the increased diversity of socio-economic and demographic backgrounds of students. The University would like to know more about these issues. Recent data collected by Quality Indicators for Learning and Teaching (QILT). showed that student satisfaction dropped to an all-time low in recent years. Most students report very poor satisfaction in terms of student engagement. These data showed that student satisfaction for The University also dropped. On top of this, the University recorded the lowest response rates in their formal surveys on student satisfaction across all units in 2021. International research scholars opined that the issues of student satisfaction should be considered in relation to students’ overall life satisfaction and quality of life. The University agreed that while research in student choice and satisfaction is available, very little has been done for students in Queensland.

The progress of the contracting work:
The consulting team has been working on the project for sometimes. They initiated a small-scale survey called “University Choice and Satisfaction”. The survey is still underway, and its latest data for two cohorts of Business students (2021 and 2022) is given to you. 

Descrption of Required Task
You know that data analysis would help the client (the University) (1) understand more about business challenges and opportunities and (2) make better decisions on how to solve problems and take advantage of opportunities. You follow the CRoss Industry Standard Process for Data Mining (CRISPDM) framework (see Lecture 2 for more details). You need to do your data work in Excel and submit the completed Excel workbook together with the  Final Report. The Final Report should have the following four sections. Please refer to the CRA document for detailed allocation of marks.

Section 1: Business background 
In this section of the Final Report, you need to

• identify key hypotheses, beliefs, expectations, and/or pre-dispositions of the Client about the business challenges and opportunities (hint: read the information in the case study carefully),
• use secondary data to establish and clarify business challenges, opportunities, for the Client (hint: using the secondary data from QILT and use appropriate data visualisation)
• describe main objectives of the project (hints: what are main research objectives and questions)

Section 2: Data Understanding & Preparation 
In this section of the Final Report, you need to provide descriptive summaries/overviews of primary data from the survey in the Report which are supported by your submitted Excel workbook (hints: data visualisation, descriptive statistics could also be used in this section) In your Excel Workbook, you demonstrate that you had undertaken the tasks of describing and exploring data, verifying data quality, selecting data, cleaning data, constructing new variables, formatting data. Note that after the process of data understanding and preparation, you should be ready to derive important hypotheses or undertake analysis to answer research questions in line with Section 1.

Section 3: Modelling & Empirical Results
In this section of the Final Report, you need to report key empirical results which are supported by your submitted Excel Workbook and interpret the business meanings of these results. In your Excel Workbook, you need to demonstrate that you had undertaken the tasks of using primary data to test hypotheses, estimate confidence interval, examine correlations.

Section 4: Conclusions 
In this section, you need to relate empirical results of Section 3 with Section 1 to draw important business conclusions of the project. 

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