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Higher Education in Australia

   

Added on  2020-03-16

8 Pages1719 Words43 Views
NameStudent IDSection 1: Introduction On-campus living has been part and parcel of higher education in Australia ever since time immemorial(Thelin, 2011). However, there as the saying goes “No road lacks a turning point”, things have taken a U-turn beginning of the twentieth century. Much focus has been on offering academic services and notaccommodation. This has subsequently resulted to increase in cost of accessing education sinceaccommodation is part of acquiring education. It has therefore been a great concern of many studentsseeking education in Australia to know the cost of accommodation in the surrounding area where theuniversity is located. This study therefore sought to analyze and compare the accommodation costs paidby international students in four suburbs of Australia. We will utilize two datasets (dataset1 and datset2). Dataset 1: The dataset is a primary data that was collected among the international student living in four suburbs ofAustralia. From each suburb, 24 respondents from each of the four suburbs (Sydney, Auburn, Randwickand Parramatta) were interviewed. The respondents were chosen randomly from a registry of students thatwas provided to the researcher by the registrar upon explaining to the registrar the reasons for the study.Participants were asked three questions. The questions were; amount of rent the respondent paid, suburbwhere they live and their gender.Dataset 2:Unlike dataset 1, dataset 2 is a secondary data that had been collected sometime back and stored forpurposes of analysis. The dataset has a total of 500 observations with six variables. There are 6 variablesin the dataset (four of the variables are numerical variables while two are categorical variables). The twocategorical variables are dwelling type and suburb. Bond amount, Weekly rent, number of bedrooms andpostcode are all numerical variables. The first five cases of the dataset is shown in table 1 below;Table 1: First five cases of dataset 2BondAmountWeeklyRentDwellingTypeNumberBedroomsPostcodeSuburb2200.00550.00House42144AUBURN1960.00490.00House22144AUBURN2080.00520.00Flat22144AUBURN2400.00600.00House42144AUBURN1600.00400.00Flat22144AUBURNSection 2: International Students’ Weekly Rent The average monthly rent paid by the international students is presented in the figure below (figure 1).A quick visualization of the plot shows students living Sydney pay a lot of money in terms of rent ascompared to the students living in the three other suburbs. In fact students living in Sydney said to bepartying away with $614.58 as rent every month. They were followed by students in Randwick who saidto be paying on average $531.46. Auburn city seems to be the cheapest of all the four places as studentssaid to part with an average of $348.25 every month while Parramatta students pay an average of$422.71.

AuburnParramattaRandwickSydney0.00100.00200.00300.00400.00500.00600.00700.00348.25422.71531.46614.58Average monthly rent paidFigure 1: Average weekly rent paid by international studentsTable 2: Descriptive StatisticsAuburnParramattaRandwickSydneyMean348.25422.71531.46614.58Standard Error5.645.438.238.26Median352.00422.50527.50620.00Mode367.00455.00580.00580.00Standard Deviation27.6326.6240.3440.46Sample Variance763.59708.651627.131636.78Kurtosis-0.77-0.95-0.45-0.55Skewness-0.060.020.11-0.44Range95.0095.00150.00150.00Minimum302.00375.00460.00520.00Maximum397.00470.00610.00670.00Sum8358.0010145.0012755.0014750.00Count24242424As can be seen from the above table (table 2), the average monthly rent is highest in Sydney ($614.58),followed by Randwick ($531.46), third was Parramatta ($422.71) while in Auburn was the cheapest($348.25).

Section 3: Rental Bond Board Property Data – Dwelling Type The figure shows that majority live in flats (n = 465) only a few live in houses (n = 35).Figure 2: Dwelling TypesThere was a great concern to check whether there enough evidence that the proportion of House dwellingtype is less than 10%. We performed a one-sample t-test in order to verify the claim. The results are intable 3 below;Table 3: t-Test: Two-Sample Assuming Equal VariancesDwellingTypeSampleMean0.070.1Variance0.06520.0902Observations500500Pooled Variance0.0777Hypothesized Mean Difference0df998t Stat-1.70P(T<=t) one-tail0.0446t Critical one-tail1.6464P(T<=t) two-tail0.0891t Critical two-tail1.9623From table 3 above, we can see that the p-value for the one-tail is 0.0446 (a value less than 5% level ofsignificance), we therefore reject the null hypothesis and conclude that there is enough evidence that theproportion of House dwelling type is less than 10%.

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