This presentation explores the distribution of house price index in Brisbane, Sydney and Melbourne. It includes information on the mean and median price index, confidence intervals, and t-tests to determine if the mean house price index is different than 100 and whether the population mean house price index for these cities is different for each pair of cities.

Assessment 3- Individual Group Presentation

Develop students’ competency in statistical literacy for decision making in the local and global business environment.

Analyze house price index in Brisbane, Sydney, and Melbourne. Test mean difference from 100 and between cities.

Statistics for Financial Decisions - Desklib

This study analyzes the House Price Index of three cities (Brisbane, Sydney, and Melbourne) using descriptive and inferential statistics. Findings show that Sydney has a similar house price index with Melbourne and Brisbane has a different house price index. The study provides numerical descriptive statistics, estimation, and hypothesis tests. The results show that the population means house Price Index for Brisbane and Sydney are equal, and the population means house Price Index for Sydney and Melbourne are equal. The study concludes that Sydney is at the top in terms of housing prices with Melbourne in second, and other cities such as Brisbane lie on the bottom.

Hartpury University and Hartpury College

Analysis of House Price Index in Brisbane, Sydney, and Melbourne

This study analyzes the House Price Index of three cities (Brisbane, Sydney, and Melbourne) using descriptive and inferential statistics. The study includes histograms, numerical descriptive statistics, estimation, and hypothesis tests. Findings show that Sydney has the highest house price mean with a standard deviation of 29.66.

Statistics for Financial Decisions - Desklib

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