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Assignment: Primary and Secondary Data on Properties

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Added on  2020-03-28

Assignment: Primary and Secondary Data on Properties

   Added on 2020-03-28

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Assignment: Primary and Secondary Data on Properties_1
Section 1 This assignment looks at primary and secondary data on properties, in terms of their weekly rent, dwelling type( flat/house), no of bedrooms, and bond amount paid . It covers 4 different suburbs. It reports on a variety of questions relating to these parameters. In dataset 1, we use primary data on the basis of interview of 5 students on their weekly rent. This sample can be biased as it uses respondents from my university campus only, so that its applicability across Australia is questionable. The sample size is also low as we use only 5 respondents. It will be inappropriate to use this small dataset to make any conclusions about the whole University. Dataset 2 is larger as it has 500 observations. It is secondary data on weekly rent paid, dwelling type (flat/house), no of bedrooms, and bond amount paid . It covers 4 different suburbs, and provides their post codes as well. The first 5 cases of your dataset are shown below.BondAmountWeeklyRentDwellingTypeNumberBedroomsPostcodeSuburb$2,900$725Flat32031RANDWICK$2,480$620Flat12031RANDWICK$1,960$490Flat22150PARRAMATTA$2,200$550Flat22031RANDWICK$2,280$570Flat22031RANDWICKSection 2 THE following table gives a numerical summary of the data. Median > mean which implies negative skewed distribution. The data is left skewed. The spread of data is high at a variance of1032.5. As we can see students 5 has highest rent of $165, while student 2 has lowest rent of $90. DATASET 1Mean128Standard Error14.3701079Median135Mode#N/AStandard Deviation32.132538Sample Variance1032.5Kurtosis-2.35933845
Assignment: Primary and Secondary Data on Properties_2
Skewness-0.19064501Range75Minimum90Maximum165Sum640Count5Section 3: a.Using the data relating to Dwelling Type, we show that there is predominance of flats- 462/500 stay in flats. The majority students stay in Parramatta. (163/500). In Sydney no student from our sample set stays in houses.SUBURBFlatHouseGrand TotalAUBURN381957PARRAMATTA15112163RANDWICK1177124SYDNEY156156Grand Total46238500. The bar chart shows the same information in a graphical form. The predominance of flats (in blue) is clear, as is the preference for Parramatta and Sydney. The proportion of House as a dwelling type is 38/500 = sample proportion= p
Assignment: Primary and Secondary Data on Properties_3

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