Modeling Cost-Estimation Factors for Public Building Projects with Hybrid Approach in Addis Ababa

Table 11

Cost prediction variables sample statistics.

ID	Mean	SD	Variance	Median	Skewness	Kurtosis	Jarqua–Bera	Probability
DER11	4.02	0.98	0.95	4.00	−0.95	0.69	22.77	0.00
DER10	3.89	0.99	0.98	4.00	−0.77	0.26	13.59	0.00
DER9	3.81	1.00	1.01	4.00	−0.63	−0.05	8.82	0.01
DER1	4.12	0.84	0.70	4.00	−0.71	−0.09	11.12	0.00
DER2	4.03	0.90	0.81	4.00	2.06	15.41	1,409.38	0.00
DER7	3.92	1.04	1.09	4.00	−1.38	4.09	135.07	0.00
TCR1	3.66	1.03	1.07	4.00	−0.50	−0.24	5.84	0.05
TCR5	3.62	1.09	1.20	4.00	−0.51	−0.32	6.32	0.04
PER16	4.13	0.89	0.79	4.00	−1.24	2.05	57.58	0.00
PER8	3.96	0.95	0.90	4.00	−0.68	−0.15	10.40	0.01
PER4	3.74	0.87	0.75	3.00	−0.13	0.07	0.42	0.81
PER13	3.87	1.06	1.12	4.00	−0.56	−0.74	10.04	0.01
PER12	3.85	1.11	1.23	4.00	−0.55	−0.79	10.10	0.01
PER14	3.80	1.11	1.24	4.00	−0.56	−0.66	9.33	0.01