Required:

Design a quantitative study and prepare a report on your research project. Descriptive statistics, at least TWO DIFFERENT bivariate tests, and multiple linear regression tests are required to be used in your project. In particular, you are required to:
⦁ Identify your research questions
⦁ Develop the appropriate hypotheses associated with each of the above research questions
⦁ Apply the appropriate statistical techniques to test these hypotheses
⦁ Use Microsoft Excel to produce the results
⦁ Interpret your results from Excel and form the conclusions
⦁ Make useful recommendations to the relevant users of your report.

Notes:
⦁ Only provide descriptive statistics for variables used in multivariate analysis (only tables required, no need for graphs).
⦁ Bivariate tests include two independent samples t-tests, paired-samples t-test, one-way ANOVAs, chi-square test, correlation, and simple linear regression.
⦁ The research topics/scenarios covered in our lecture notes cannot be used in the group project.
⦁ You must clearly state in the report how you collect your data and measure your variables. If it is a dummy variable, please specify which category is your benchmark. If it is a metric variable, you are required to specify the unit of the variable.
Dataset: You are required to collect at least 100 observations for your sample based on your research questions and conduct statistical analyses based on the data you collected. You are also required to submit your raw data in Microsoft Excel format together with your report through Turnitin.