Task 2: Descriptive statistics

Use data summary methods to describe the returns in your sample using the following 8 variables.

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.

Note: Do not draw an ogive curve, stem plot or a box plot in this assignment, and do not draw 3D graphs.

Price	Method	Seller	Date	Distance	Bedroom	Bathroom
781000	S	Miles	24/06/2017	8.9	3	2
805000	S	RT	23/04/2016	8.4	3	1
790000	S	McGrath	3/06/2017	6.2	3	2
1240000	PI	hockingstuart	29/07/2017	10.5	3	2
1005000	S	Stockdale	19/11/2016	11.5	4	1
550000	VB	Domain	17/06/2017	7.2	2	1
800000	VB	Nelson	25/02/2017	1.6	2	1
535000	PI	Fletchers	22/04/2017	12.1	2	1
1420000	S	hockingstuart	17/09/2016	11.4	3	2
940000	PI	Jellis	6/05/2017	13.8	3	2
750000	SP	Brad	3/09/2017	14	5	2
720000	SP	hockingstuart	13/08/2016	11.4	3	1
750000	S	Woodards	18/03/2017	3.5	2	2
1280000	S	Barry	11/03/2017	11.8	4	1
420000	SP	YPA	14/10/2017	29.8	4	2
1155000	S	Barry	3/03/2018	12.4	3	2
680000	PI	hockingstuart	4/03/2017	7.7	2	1
2420000	S	hockingstuart	24/02/2018	10.3	3	1
1300000	SP	Brad	10/02/2018	10.4	4	2
406000	S	Barry	6/05/2017	11.2	2	1
1975000	S	Buxton	3/12/2016	11.2	3	1
730000	S	Jellis	11/02/2017	5.8	2	1
4600000	SP	Buxton	17/03/2018	10.9	6	3
620000	VB	Jellis	13/08/2016	7.8	2	1
1125000	PI	Daniel	26/08/2017	14.5	4	2
427500	S	YPA	25/11/2017	31.7	3	1
1635000	S	Jellis	13/05/2017	6.5	4	2
790000	PI	Marshall	24/09/2016	3.8	2	1
640000	S	LJ	10/02/2018	34.7	3	3
1500000	PI	Red	28/05/2016	8	3	2
2165000	S	Nelson	12/08/2017	7.5	4	2
715000	S	Barry	19/11/2016	9.4	4	2
585000	PI	Jellis	20/05/2017	5.2	2	1
550000	PI	Brad	27/11/2016	11.5	3	1
1291000	S	Barry	8/04/2017	9.4	4	2
1189000	S	hockingstuart	17/09/2016	13.9	4	2
440000	SP	hockingstuart	11/02/2017	13.8	2	1
485000	SP	Gary	3/06/2017	11.4	2	1
740000	PI	S&L	24/02/2018	10.5	2	1
1480000	S	Charlton	3/03/2018	16	4	2
1115000	S	Nelson	27/11/2016	4.4	3	1
670000	S	HAR	12/08/2017	15.3	3	2
980000	VB	RT	3/03/2018	14.7	3	1
970000	VB	hockingstuart	22/07/2017	21.5	4	2
740000	S	Darren	27/05/2017	16.1	3	1
1167500	S	Buxton	26/07/2016	13	3	2
850000	SP	Moonee	8/04/2017	10.5	4	1
700000	S	iTRAK	23/09/2017	27	3	2
1120000	S	Jellis	6/01/2018	11.7	3	1
1075000	PI	Jellis	17/09/2016	5.2	2	1
495000	S	One	29/07/2017	31.7	3	2
1158000	S	YPA	6/05/2017	13	3	1
760000	S	Love	8/07/2017	12	3	1
1300000	S	hockingstuart	19/08/2017	16.7	3	2
931000	S	Douglas	4/03/2017	7	3	1
800000	VB	hockingstuart	7/10/2017	6.7	4	1
730000	S	Purplebricks	17/02/2018	38	3	1
586000	S	Barry	27/06/2016	13.5	3	1
601000	S	MICM	30/07/2016	1.9	2	1
1015000	S	Considine	6/08/2016	9.7	3	2
590000	S	Nelson	20/05/2017	7.8	2	1
1715000	S	Buxton	4/03/2017	13.7	3	1
850000	PI	YPA	11/11/2017	14	4	3
1020000	PI	Alexkarbon	3/12/2016	8.2	6	3
1450000	S	Village	25/02/2017	7	3	2
1235000	S	Jellis	16/04/2016	6.5	3	3
600000	S	Stockdale	22/07/2017	19.6	4	2
560000	PI	Alexkarbon	8/04/2017	6.9	2	2
2080000	S	Nelson	28/10/2017	9.7	4	1
1021000	S	Jas	3/12/2016	8.2	3	1
567000	S	Ray	9/12/2017	19.6	4	2
2250000	S	Hodges	3/06/2017	10.5	4	2
867000	S	RT	23/04/2016	7	3	1
860000	SP	Buxton	22/05/2016	12.1	3	2
411000	S	Nelson	12/11/2016	8	2	1
1100000	PI	Fletchers	27/05/2017	8.9	3	2
900000	VB	Gary	3/09/2016	8.5	2	1
1370000	S	Woodards	12/11/2016	12.1	3	2
820000	S	RT	6/05/2017	8.4	2	1
890000	PI	Barry	23/09/2017	12	3	1
555000	PI	Biggin	17/09/2016	9.2	3	1
830000	VB	Nelson	13/05/2017	5.2	2	1
876000	S	Rendina	24/06/2017	3.4	2	2
655000	S	Cayzer	18/06/2016	3.8	2	1
937500	S	Village	8/10/2016	6.6	2	2
1028800	S	Jellis	26/08/2017	14.2	3	2
775000	S	Barry	13/05/2017	7.8	2	1
720000	S	J	8/10/2016	11.2	2	1
905000	SP	Miles	1/07/2017	8.9	3	2
3050000	S	Marshall	17/03/2018	1.9	3	2