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The primary focus will be on residential applications.

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Starting with a discussion and examples explaining the importance of statistical analysis for real property appraisers, it progresses through such topics as descriptive and inferential statistics, graphical analysis, measures of central tendency, and measures of dispersion. Then, mathematical and valuation modeling are demonstrated.

The last section will investigate the history of financing and the flow of funds.


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The role of the Federal Reserve System will be explored, along with how mortgages work. There will be extensive analysis of mortgage types, terms, and calculations showing the effects of changes in terms of payment patterns. An HP 12C calculator will be required for this course.


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Keystroke solutions will be provided throughout the course for the many statistical and financial problems employed. It will assist students to gain an appreciation of what statistical methods can achieve, as well as skills in analysing and interpreting business data and statistical analysis. This unit will focus on data science as an analytical and decision making tool, in a variety of business contexts, with a major emphasis on interpretation and application.


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Students who successfully complete this unit will be able to:. Apply fundamental concepts of probability and probability distributions to problems in business decision-making. Apply statistical inference methods to conduct and explain the results of hypothesis testing. First and foremost are the banks. Since deregulation, the financial sector has seen the entry of many merchant banks, and the sector has been exposed to new and sophisticated capital markets.

Undergraduate level

The Basel II compliance regime has created a special need for risk professionals. Banks require numerate graduates who can design and critically analyse the complex mathematical models for example, of leasing agreements and option pricing needed to operate effectively in fast-moving markets. Other sources of employment are the insurance, superannuation and financial consulting companies. In order to respond effectively to changes in the superannuation and tax laws, companies are seeking and employing good mathematics graduates willing to be trained as actuaries.

Python and Statistics for Financial Analysis

In the first year you will study Mathematics, Accounting and Financial Management, Microeconomics, Macroeconomics, Capital Markets and Institutions, and either another Commerce option or a recommended Computing course. Statistics studies start in year 2.

Mathematics and Statistics in both programs can be studied at the Ordinary level or at the Higher level depending on your interests and abilities, but study at the Higher level is recommended and may be necessary for certain courses in later years.