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Sample Question And Solution Of Statistics Assignment
STAT6003 Statistics For Financial Decisions1
The exponential boom in price is the focus of this study. The study is aimed at finding out some of the factors that influence the market prices of property in Sydney, Australia. The earmarked research questions include:
How does the Sydney price index influence the market price of property in Sydney?
How does the annual percentage change in the Sydney price index affect the market prices of property in Sydney?
How does the total number of square meters influence the market price of property in Sydney?
How does the age of houses (years) affect the market price of property in Sydney?
Current Research has found out that Sydney is among one of the world’s most overvalued cities for real estate (Grybauskas & Plinkiene, 2018). Thus, Engsted, Hviid & Pedersen (2016) stated that this phenomenon makes it almost impossible for a millennial to ever own a house in Sydney. According to the Duke & Robertson (2018), the property prices in Sydney are overvalued by 50 percent compared to the average earnings. The reason for this property boom is attributed to demand, supply and the cost of money (Jones, Cowe & Trevillion, 2018). Moreover, foreign investment has acted as a key driver in boosting the high market prices of property in the City (Rogers, Lee & Yan, 2015) - Read More
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- Probability distributions assignment help
- Regression analysis assignment help
- MATLAB assignment help
- MINITAB assignment help
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- Linear programming assignment help
- SPSS assignment help
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Most Popular Questions Searched By Students
Q. Where can I find trusted statistics homework help?
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Q. What are the topics in statistics homework?
The different topics that can be considered for the assignments that are done by the students or the universities include the following,
- Diagrammatic or tabular presentation of the frequency and the non-frequency based data.
- Measures of the central tendency.
- Kurtosis and Skewness.
- Probability of the event.
- Independence of the events.
- Continuous and discrete probability distributions and properties.
- Regression analysis.
- Correlation analysis.
- Random sample generation.
- Computation of the expectation and standard error.
- Interval and point estimation of parameters.
- Testing of the hypothesis.
- Sample surveys.
- Principal components.
- Cluster analysis.
- Factor analysis.
- Classification and discrimination.
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