THE STATISTICAL ANALYSIS PROJECT

Running head: STATISTICAL ANALYSIS PROJECT
Statistical Analysis Project
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Name of the University:
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STATISTICAL ANALYSIS PROJECT
1
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Subject: Statistical Analysis Project
The project is based on a statistical analysis of the residential property. In this
project, the data has been collected from the non-capital city of Australia. The project has
been conducted in two parts. The first part consists of a preliminary analysis of sample data.
According to the student ID, the sample data 7 data has been selected for analysis and
calculation. Four variables have been taken in this study. These are price ($000), number of
bedrooms, number of bathrooms, and type.
In Part B of this project the statistical inference and regression analysis has been
conducted. The answer to the question one that is to estimate the population proportion for
unit sales, firstly, the data has been sorted. It has been seen that there is a sample of 100
observations has been taken, and for unit, the sample size is 37. Therefore the proportion of
units is 37 /100 that is 0.37.
Table 1 t-test output
The answer to the question two that to test the mean price of two and three-bedroom
more than $330,000, one sample t-test has been applied. It has been seen that the test statistic
for this test is 20.99. The critical or the p-value of this one-sample t-test is 0.00, which is
smaller than the alpha at 5% (alpha = 0.05, at 5%). Hence the hypothesis of this test is
significant. Therefore it may be summarized from this that the mean price of two and three-
bedroom more than $330,000.