Assignment on Statistics and Data Analysis

Added on - 21 Apr 2020

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Running Head: STATISTICS AND DATA ANALYSISStatistics and Data AnalysisName of the StudentName of the UniversityAuthor Note
1STATISTICS AND DATA ANALYSISTable of Contents1.0 Introduction...........................................................................................................................................21.1 Background and Overview................................................................................................................2
2STATISTICS AND DATA ANALYSIS1.0 Introduction1.1 Background and OverviewThere are a lot of people around the world who are interested to relocate to Australia on atemporary or permanent basis and this Australian company is a service and facility provider to thoseclients. They help the clients in choosing the most reasonable and budget friendly. The major clients ofthe company are the international students. Sydney, Randwick, Parramatta and Auburn are the four majorsuburbs of the Sydney metro and most of the students aim for these locations. Thus, the rents of thehouseholds or apartments of these suburbs are analyzed. This will help the clients in having an idea aboutthe rents and thus, offering them rates by the company will become easier. Negotiation with the propertyowners can also be done with the help of these.1.2 International Students DatasetThe weekly rents paid by 40 international students residing in the Australian suburbs of Auburn,Parramatta, Randwick and Sydney have been recorded for the purpose of the analysis. The students wereselected randomly and information has been collected from the students directly. The random samplingtechnique implies unbiasedness of the data and the data so collected is primary. Weekly rent is also acontinuous variable.1.3 Rental Bond DatasetThe second dataset containing information about the rental bond has been collected from theNSW Rental Bonds data that was published by the department of Finance, Services and Innovation. Thisis a secondary data as it collected from the website. The variables involved in this dataset are BondAmount (quantitative and continuous variable), Weekly Rent (quantitative and continuous variable),Dwelling Type (qualitative variable, nominal), number of bedrooms (quantitative and discrete variable),
3STATISTICS AND DATA ANALYSISpostcode (ordinal data) and suburb (qualitative and nominal). Table 1 shows the first five samples of thedataset that has been considered.Table 1: First five samples of the Rental Bonds data2.0 International Students’ Weekly RentGraphically a boxplot as shown in figure 1 represents the five-point summary of the data onweekly rents of the international students. The summary of the data on weekly rent is given in table 2.Table 2 shows that the standard deviation is quite high and thus it can be said the rents are notclose to $256.43. In fact, the rents are scattered between $91 and $448 a week. The boxplot shows that therents are equally distributed all over. There is no preference of the students for a higher priced or lower
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