Real Estate Data

68. look up to the rattling estate data, which reports learning on home plates sell in the Phoenix, Arizona, subject field live on year. a. conduct the shifting exchange price. 1. settle the mean, median, and the bar deviation. 2. spare a picture unofficial of the dispersion of interchange prices. b. distinguish the versatile referring to the sweep of the home in second power feet. 1. incur the mean, median, and the bill deviation. 2. spare a outline drumhead of the scattering of the state of homes. impairment Bedrooms sizing kitty blank Twnship service department Baths 263. 1 4 2300 1 17 5 1 2 182. 4 2100 0 19 4 0 2 242. 1 3 2300 0 12 3 0 2 213. 6 2 2200 0 16 2 0 2. 5 139. 9 2 2100 0 28 1 0 1. 5 245. 4 2 2100 1 12 1 1 2 327. 2 6 2500 0 15 3 1 2 271. 8 2 2100 0 9 2 1 2. 5 221. 1 3 2300 1 18 1 0 1. 5 266. 6 4 2400 0 13 4 1 2 292. 4 4 2100 0 14 3 1 2 209 2 1700 0 8 4 1 1. 5 270. 8 6 2500 0 7 4 1 2 246. 1 4 2100 0 18 3 1 2 194. 4 2 2300 0 11 3 0 2 281. 3 3 2100 0 16 2 1 2 172. 7 4 2200 1 16 3 0 2 207. 5 5 2300 1 21 4 0 2. 5 198. 3 2200 1 10 4 1 2 209. 3 6 1900 1 15 4 1 2 252. 3 4 2600 0 8 4 1 2 192. 9 4 1900 1 14 2 1 2. 5 209. 3 5 2100 0 20 5 0 1. 5 345. 3 8 2600 0 9 4 1 2 326. 3 6 2100 0 11 5 1 3 173. 1 2 2200 1 21 5 1 1. 5 187 2 1900 0 26 4 0 2 257. 2 2 2100 0 9 4 1 2 233 3 2200 0 14 3 1 1. 5 180. 4 2 2000 0 11 5 0 2 234 2 1700 0 19 3 1 2 207. 1 2 2000 0 11 5 1 2 247. 7 5 2400 0 16 2 1 2 166. 2 3 2000 1 16 2 1 2 177. 1 2 1900 0 10 5 1 2 182. 7 4 2000 1 14 4 0 2. 216 4 2300 0 19 2 0 2 312. 1 6 2600 0 7 5 1 2. 5 199. 8 3 2100 0 19 3 1 2 273. 2 5 2200 0 16 2 1 3 206 3 2100 1 9 3 0 1. 5 232. 2 3 1900 1 16 1 1 1. 5 198. 3 4 2100 1 19 1 1 1. 5 205. 1 3 2000 1 20 4 0 2 clxxv. 6 4 2300 1 24 4 1 2 307. 8 3 2400 1 21 2 1 3 269. 2 5 2200 0 8 5 1 3 224. 8 3 2200 0 17 1 1 2. 5 171. 6 3 2000 1 16 4 0 2 216. 8 3 2200 0 15 1 1 2 192. 6 6 2200 1 14 1 0 2 236. 4 5 2200 0 20 3 1 2 172. 4 3 2200 0 23 3 0 2 251. 3 1900 0 12 2 1 2 246 6 2300 0 7 3 1 3 147. 4 6 1700 1 12 1 0 2 176 4 2200 0 15 1 1 2 228. 4 3 2300 0 17 5 1 1. 5 166. 5 3 1600 1 19 3 0 2. 5 189. 4 4 2200 0 24 1 1 2 312. 1 7 2400 0 13 3 1 3 289. 8 6 2000 0 21 3 1 3 269. 9 5 2200 1 11 4 1 2. 5 154. 3 2 2000 0 13 2 0 2 222. 1 2 2100 0 9 5 1 2 209. 7 5 2200 1 13 2 1 2 190. 9 3 2200 1 18 3 1 2 254. 3 4 2500 1 15 3 1 2 207. 5 3 2100 1 10 2 0 2 209. 7 4 2200 1 19 2 1 2 294 2 2100 0 13 2 1 2. 176. 3 2 2000 1 17 3 0 2 294. 3 7 2400 0 8 4 1 2 224 3 1900 1 6 1 1 2 one hundred twenty-five 2 1900 0 18 4 0 1. 5 236. 8 4 2600 1 17 5 1 2 164. 1 4 2300 0 19 4 0 2 217. 8 3 2500 0 12 3 0 2 192. 2 2 2400 0 16 2 0 2. 5 125. 9 2 2400 0 28 1 0 1. 5 220. 9 2 2300 1 12 1 1 2 294. 5 6 2700 0 15 3 1 2 244. 6 2 2300 0 9 2 1 2. 5 199 3 2500 1 18 1 0 1. 5 240 4 2600 0 13 4 1 2 263. 2 4 2300 0 14 3 1 2 188. 1 2 1900 0 8 4 1 1. 5 243. 7 6 2700 0 7 4 1 2 21. 5 4 2300 0 18 3 1 2 175 2 2500 0 11 3 0 2 253. 2 3 2300 0 16 2 1 2 155. 4 4 2400 1 16 3 0 2 186. 7 5 2500 1 21 4 0 2. 5 179 3 2400 1 10 4 1 2 188. 3 6 2100 1 15 4 1 2 227. 1 4 2900 0 8 4 1 2 173. 6 4 2100 1 14 2 1 2. 5 188. 3 5 2300 0 20 5 0 1. 5 310. 8 8 2900 0 9 4 1 2 293. 7 6 2400 0 11 5 1 3 179 3 2400 0 8 4 1 2 188. 3 6 2100 1 14 2 1 2. 5 227. 1 4 2900 0 20 5 0 1. 5 173. 6 4 2100 0 9 4 1 2 188. 3 5 2300 0 11 5 1 3