Task 2: Descriptive statistics Use data summary methods to describe the returns in your sample using nine variables [items 1? above}. Use an appropriate graphical and summary statistical technique. chosen according to the type of variable. Less appropriate/inappropriate techniques will receive fewer/ no marks. Choose your techniques from the following: - tabular techniques: frequency tables and grouped frequency tables - summary statistics: mode, median, mean, standard deviation, range, coefficient of variation and interquartile range - graphical techniques: pie chart. bar graph. histogram, frequency polygon. 1. Prime in Australian dollars 2. Method of sale: |. S Property sold ||. SP Property sold prior to auction I". PI Property passed in IV. Vendor bid V. SA Sold after auction 3. Type: |. h = house. cottage, villa, semi-detached, terrace H. u = unit. duplex I". t = townhouse 4. Seller: Real estate agent 5. Date 6. Distance: Distance from CBD in kilometres 7. BedroOms: Number of bedrooms 8. Bathrooms: Number of bathrooms 9. Land size: Land size in metres. What kind of methods/techniques would be best to use to write report using descriptive statistics, based on the 9 variables above? Type Price Method . Seller Date Distance * Bedroom * Bathroom * Landsize h 920000 SP Brac 10/12/2016 12.8 4 745 900000 S Greg 13/05/20 8.4 575 PENN 920000 PI Buxton 7/05/2016 13.9 583 985000 S Marshall 3/12/2016 3.8 171 N W 460000 SP Rendina 23/04/2016 4.2 0 655000 S Buxton 8/10/2016 14.6 IN 1202 1675000 PI Thomson 3/09/2016 11.2 727 926000 S Ray 22/07/2017 17.2 374 PINNWNPP 1050000 SP McGrath 24/02/2018 19.9 921 600500 S YPA 10/09/2016 12.1 462 535000 S Jellis 18/06/2016 4.6 1228 690000 S Peter 3/06/2017 5.3 NON 1396 650000 PI Barry 12/08/2017 8.8 683 820000 S Nelson 28/08/2016 8 0 608000 S Raine 17/09/2016 13 252 1430000 SP Village 25/02/2017 7 386 1231000 SP Barry 3/03/2018 21.1 1567 240000 PI Stockdale 26/07/2016 11.2 82 887000 S Jas 26/07/2016 6.6 + NOWNNNAWWW 170 1240000 PI Leased 3/12/2016 3.8 0 1210000 S hockingstuart 6/08/2016 13.9 291 1090000 S Philip 8/07/2017 21.3 894 630000 S Nelson 4/03/2017 4.2 0 950000 PI Barry 24/02/2018 5.2 263 791000 S Ray 18/06/2016 11.2 961 2025000 VB Jellis 7/05/2016 7.4 -INPINWNPPPPNPNONNEWPPPWWNPP 396 WH WA 270000 PI Stockdale 24/06/2017 12 oo 931000 S Biggin 18/03/2017 2.6 683000 S FN 4/06/2016 11.1 534 731000 S Jellis 22/07/2017 12.4 217 675000 S Brad 8/10/2016 6.9 206 AWW NNW 660000 S Brad 24/02/2018 15.5 744 2700000 VB Kay 12/06/2016 4.6 294 3400000 SP Jellis 18/06/2016 7.4 807 540000 S YPA 3/09/2017 31.7 650 1245000 S hockingstuart 18/03/2017 6.5 409 470000 VB Raine 24/02/2018 18.4 589 605000 PI Brad 6/08/2016 9.9 215 2110000 S Fletchers 8/04/2017 7.8 572 1275000 S Jellis 19/11/2016 5.6 381 1040000 S Jellis 10/09/2016 2.6 0 NWWN 780000 PI Ray 9/09/2017 21.5 292 550000 VB Nelson 3/09/2016 8 0 860000 S Ray 3/06/2017 23.2 304 976000 S Jellis 14/05/2016 5.2 240 1510000 SP C21 18/03/2017 13.9 640 W W DW A 1401500 S Buxton 24/06/2017 14.3 867 1350000 S Woodards 24/02/2018 10.1 582 1225000 VB Jellis 16/09/2017 10.8 753 1880000 S Barry 29/04/2017 13.9 814 1775000 VB Barry 14/10/2017 21.5 791 670000 PI Buxton 3/06/2017 10.1 17/03/2018 20 2023