1. In the Housing Data sheetDatasheet

compute the different Percentiles for the Price column - NE Sector = 'Yes', NE Sector = 'No' and overall. (b) Comment on the House Prices for the two areas (NE sector and not NE Sector) , observing values up to the 50th Percentile and beyond. (c) What conclusions do you draw?

Square Feet	Age	Features	NE Sector	Corner Lot	Offer Pending	Annual Tax
1,236	3	4	No	No	No	707			(a) Univariate Statistics
1,740	4	3	No	No	No	816		Complete this table
1,715	4	3	No	No	No	900			Price
1,273	4	4	No	No	No	638
970	4	4	No	No	Yes	541			NE Sector = 'No'	NE Sector = 'Yes'	Overall
900	5	3	No	No	No	391
1,850	5	5	No	Yes	Yes	973		1st Percentile
1,720	5	4	No	No	No	867		5th Percentile
1,606	5	4	No	No	No	811		10th Percentile
1,305	5	3	No	No	No	647		25th Percentile
1,700	6	4	No	No	No	725		50th Percentile
1,620	6	4	No	No	No	800		75th Percentile
1,630	6	4	No	No	No	750		90th Percentile
1,540	6	2	No	No	Yes	826		95th Percentile
1,229	6	3	No	No	No	721		99th Percentile
1,500	7	3	No	Yes	Yes	700
1,535	7	5	No	No	Yes	668
1,415	7	4	No	No	No	866			(b) Comment on the House Prices for the two areas (NE sector and not NE Sector) , observing values upto the 50th Percentile and beyond.
1,165	7	4	No	No	No	694
1,200	7	4	No	No	Yes	634
1,920	8	4	No	No	No	944
1,580	9	3	No	No	No	810
1,739	13	3	No	No	No	880
1,505	14	2	No	No	Yes	591
1,198	14	4	No	No	No	459			(c) What conclusions do you draw?
2,563	14	2	No	Yes	No	1,189
1,051	15	2	No	No	No	426
3,750	19	4	No	Yes	Yes	1,200
1,080	21	3	No	Yes	No	600
1,142	21	0	No	No	No	223
1,464	22	2	No	No	No	376
2,116	25	3	No	Yes	No	1,209
1,159	25	0	No	No	No	225
1,280	38	3	No	No	No	447
1,428	40	2	No	No	No	701
1,375	40	1	No	No	No	585
1,480	40	4	No	No	No	475
2,250	40	6	No	Yes	No	915
1,400	45	1	No	Yes	Yes	481
1,920	1	5	Yes	Yes	No	1,161
1,710	1	3	Yes	Yes	No	1,010
2,774	2	4	Yes	No	No	1,765
2,921	3	6	Yes	Yes	No	1,635
1,275	3	5	Yes	No	No	570
2,580	4	4	Yes	Yes	No	1,732
2,580	4	4	Yes	No	No	1,534
1,837	4	5	Yes	No	No	1,191
2,848	4	6	Yes	Yes	No	1,487
1,338	4	3	Yes	No	Yes	649
997	4	4	Yes	No	No	461
1,280	5	1	Yes	No	No	599
1,900	5	3	Yes	No	No	780
2,664	6	5	Yes	Yes	No	1,193
1,173	6	4	Yes	No	No	456
1,365	6	2	Yes	No	No	673
1,030	6	1	Yes	No	No	486
1,549	7	4	Yes	No	No	723
1,258	7	4	Yes	No	Yes	821
1,880	8	6	Yes	No	No	930
2,600	10	4	Yes	Yes	No	1,088
2,150	10	4	Yes	No	No	1,050
1,746	10	2	Yes	No	No	591
837	10	2	Yes	No	No	342
2,000	11	3	Yes	Yes	No	1,076
1,560	11	5	Yes	No	Yes	638
1,725	12	3	Yes	No	No	923
2,650	13	7	Yes	Yes	No	1,639
1,430	13	3	Yes	No	No	752
1,050	13	2	Yes	No	Yes	553
1,680	13	4	Yes	No	No	875
1,350	13	2	Yes	No	No	622
1,894	14	5	Yes	Yes	No	1,112
1,360	14	4	Yes	No	No	696
1,326	14	4	Yes	No	No	668
1,706	14	4	Yes	No	No	810
1,948	14	4	Yes	No	No	899
1,314	14	2	Yes	No	No	671
2,150	15	3	Yes	No	No	984
1,630	15	3	Yes	No	Yes	867
1,500	15	4	Yes	No	No	743
1,215	15	3	Yes	No	No	477
1,027	15	3	Yes	No	No	427
1,348	15	2	Yes	Yes	No	520
1,767	16	4	Yes	No	No	794
1,400	16	2	Yes	No	Yes	731
1,385	16	2	Yes	No	No	653
1,710	16	4	Yes	Yes	No	800
1,680	17	4	Yes	No	Yes	750
1,573	17	6	Yes	No	No	768
2,180	17	4	Yes	No	Yes	1,141
1,928	18	8	Yes	Yes	No	600
2,440	19	5	Yes	Yes	No	1,265
1,007	19	6	Yes	No	No	513
1,657	20	4	Yes	No	No	865
1,565	20	3	Yes	Yes	No	648
1,543	20	3	Yes	No	No	820
1,181	21	4	Yes	No	No	440
1,464	22	2	Yes	Yes	No	566
1,083	22	4	Yes	No	No	504
1,830	23	3	Yes	No	No	733
1,156	23	1	Yes	No	No	650
2,253	23	4	Yes	Yes	No	939
1,299	24	6	Yes	No	No	585
1,320	24	5	Yes	No	No	580
2,277	25	4	Yes	Yes	No	920
2,743	25	5	Yes	Yes	Yes	1,232
2,200	26	4	Yes	No	No	1,076
2,931	28	3	Yes	No	Yes	1,142
2,200	28	4	Yes	No	No	1,035
1,713	30	4	Yes	No	Yes	600
1,140	30	3	Yes	No	Yes	490
1,900	34	3	Yes	No	No	690
1,050	40	1	Yes	No	No	542
1,190	41	1	Yes	No	No	600
1,733	43	6	Yes	No	No	656
1,121	46	4	Yes	No	No	398
1,478	53	3	Yes	No	Yes	626

	NE Sector = 'No'	NE Sector = 'Yes'	Overall
1st Percentile
5th Percentile
10th Percentile
25th Percentile
50th Percentile
75th Percentile
90th Percentile
95th Percentile
99th Percentile