Assignment Detail:- HI6007 Statistics for Business Decisions - Holmes Institute
Purpose: Students are required to show understanding of the principles and techniques of business research and statistical analysis taught in the course-
This assignment aims at assessing students' understanding of different qualitative and quantitative research methodologies and techniques- Other purposes are:
1- Explain how statistical techniques can solve business problems2- Identify and evaluate valid statistical techniques in a given scenario to solve business problems3- Explain and justify the results of a statistical analysis in the context of critical reasoning for a business problem solving4- Apply statistical knowledge to summarize data graphically and statistically, either manually or via a computer package5- Justify and interpret statistical/analytical scenarios that best fit business solution
Assignment Structure
Assignment Questions
Assume your group is the team of data analytics in a renowned Australian company- The company offers their assistance to distinct group of clients including -not limited to-, public listed companies, small businesses, educational institutions etc- Company has undertaken several data analysis projects and all the projects are based on multiple regression analysis-
Based on the above assumption, you are required to-
Question 1- Develop a research question which can be addressed through multiple regression analysis- Note: Your study should be based on one of the following sectors/ markets and you should be able to provide a reasonable justification for your selection-a- Australian Stock Exchangeb- Australian Real Estate Marketc- Travel and Tourism Sector-Please attend weekly interactive tutorials to get more information- You are required to get the approval via email prior the commencement of your study--
Question 2- Explain the target population and the expected sample size
Question 3- Briefly describe the most appropriate sampling method-
Question 4- Create a data set -in excel- which satisfy the following conditions- -You are required to upload the data file separately--a- Minimum no of independent variables - 2 variablesb- Minimum no of observations - 30 observationsNote: You must use most recent data, share the details on data sources and not allowed to use hypothetical data-
Question 5- Perform descriptive statistical analysis and prepare a table with following descriptive measures for all the variables in your data set-Mean, median, mode, variance, standard deviation, skewness, kurtosis, coefficient of variation-
Question 6- Briefly comment on the descriptive statistics in the part -5- and explain the nature of the distribution of those variables-
Question 7- Derive suitable graph to represent the relationship between dependent variable and each independent variable in your data set--ex: relationship between Y and X1, Y and X2 etc-
Question 8- Based on the data set, perform a regression analysis and correlation analysis, and answer the questions given below-a- Derive the multiple regression equation and Interpret the meaning of all the coefficients-b- Interpret the coefficient of determination-c- At 5% significance level, test the overall model significance-d- At 5% significance level, assess the significance of independent variables in the model-e- Based on the above analysis in a -d, discuss the usefulness of the model for prediction purposes-
Attachment:- Statistics for Business Decisions-rar
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