Question
Refer to the real estate data from the Halifax area, which reports information on home listings. MLS listings from the CREA website for Halifax, Nova
Refer to the real estate data from the Halifax area, which reports information on home listings.
| MLS listings from the CREA website for Halifax, Nova Scotia. The listings are in close proximity to St Mary's University and Dalhousie University. | |||||||||
| | | | | | | | | | |
| List Price | Type | Number of Bedrooms | Full Baths | Half Baths | Total Square Feet | | | | |
| $ 164,900 | Townhouse | 1 | 1 | 0 | 515 | | | | |
| $ 167,510 | Apartment | 1 | 1 | 0 | 518 | | | | |
| $ 179,000 | Apartment | 1 | 1 | 0 | 720 | | | | |
| $ 179,000 | Apartment | 1 | 1 | 0 | 720 | | | | |
| $ 184,900 | Apartment | 1 | 1 | 0 | 500 | | | | |
| $ 189,000 | Apartment | 1 | 1 | 0 | 840 | | | | |
| $ 192,779 | Apartment | 1 | 1 | 0 | 612 | | | | |
| $ 214,900 | Apartment | 2 | 1 | 1 | 1050 | | | | |
| $ 219,500 | Apartment | 2 | 1 | 0 | 1130 | | | | |
| $ 220,000 | Apartment | 2 | 1 | 0 | 1010 | | | | |
| $ 222,400 | House | 2 | 1 | 1 | 1428 | | | | |
| $ 227,000 | Apartment | 2 | 1 | 0 | 1014 | | | | |
| $ 229,000 | Apartment | 2 | 1 | 1 | 1050 | | | | |
| $ 237,500 | Apartment | 1 | 1 | 0 | 742 | | | | |
| $ 239,000 | Apartment | 1 | 1 | 0 | 609 | | | | |
| $ 241,745 | Apartment | 1 | 1 | 0 | 749 | | | | |
| $ 244,900 | Apartment | 1 | 1 | 0 | 713 | | | | |
| $ 249,000 | Apartment | 2 | 2 | 0 | 1293 | | | | |
| $ 249,999 | Townhouse | 2 | 1 | 0 | 1150 | | | | |
| $ 269,000 | Apartment | 1 | 1 | 0 | 831 | | | | |
| $ 274,900 | House | 3 | 1 | 0 | 1104 | | | | |
| $ 274,900 | Townhouse | 2 | 1 | 1 | 1105 | | | | |
| $ 289,900 | Apartment | 1 | 1 | 0 | 550 | | | | |
| $ 292,000 | Apartment | 2 | 2 | 0 | 1057 | | | | |
| $ 295,000 | Townhouse | 3 | 1 | 0 | 1200 | | | | |
| $ 299,000 | Apartment | 1 | 1 | 0 | 880 | | | | |
| $ 299,900 | House | 3 | 1 | 0 | 1560 | | | | |
| $ 299,900 | Townhouse | 2 | 1 | 1 | 1379 | | | | |
| $ 324,900 | Townhouse | 3 | 1 | 1 | 1600 | | | | |
| $ 332,000 | Apartment | 1 | 2 | 0 | 937 | | | | |
| $ 335,000 | Apartment | 1 | 1 | 0 | 780 | | | | |
| $ 339,900 | Apartment | 1 | 1 | 0 | 800 | | | | |
| $ 349,900 | Apartment | 2 | 2 | 0 | 1190 | | | | |
| $ 354,200 | Apartment | 2 | 2 | 0 | 1155 | | | | |
| $ 368,500 | Apartment | 2 | 1 | 0 | 1117 | | | | |
| $ 379,200 | Townhouse | 3 | 2 | 1 | 1692 | | | | |
| $ 379,900 | House | 6 | 2 | 0 | 2520 | | | | |
| $ 380,900 | Apartment | 1 | 2 | 0 | 937 | | | | |
| $ 387,900 | Apartment | 2 | 1 | 1 | 1102 | | | | |
| $ 392,900 | Townhouse | 3 | 1 | 1 | 1686 | | | | |
| $ 404,900 | Apartment | 2 | 2 | 0 | 1310 | | | | |
| $ 425,000 | Apartment | 1 | 1 | 0 | 781 | | | | |
| $ 425,000 | House | 2 | 1 | 1 | 1400 | | | | |
| $ 429,900 | Apartment | 2 | 2 | 0 | 1032 | | | | |
| $ 430,000 | Apartment | 2 | 2 | 0 | 1154 | | | | |
| $ 440,500 | Apartment | 2 | 2 | 0 | 1316 | | | | |
| $ 448,900 | Apartment | 2 | 2 | 0 | 1390 | | | | |
| $ 449,000 | House | 3 | 2 | 0 | 1342 | | | | |
| $ 449,900 | Apartment | 2 | 2 | 0 | 1000 | | | | |
| $ 450,500 | Apartment | 2 | 2 | 0 | 1092 | | | | |
| $ 451,900 | Apartment | 2 | 2 | 0 | 1304 | | | | |
| $ 459,000 | Apartment | 1 | 2 | 0 | 1313 | | | | |
| $ 464,900 | Townhouse | 2 | 2 | 1 | 2191 | | | | |
| $ 464,900 | Townhouse | 2 | 2 | 1 | 2181 | | | | |
| $ 469,900 | Apartment | 2 | 2 | 0 | 1038 | | | | |
| $ 477,900 | Townhouse | 2 | 2 | 1 | 2188 | | | | |
| $ 479,900 | Apartment | 2 | 2 | 0 | 1380 | | | | |
| $ 484,000 | Townhouse | 3 | 2 | 1 | 2261 | | | | |
| $ 489,900 | House | 2 | 2 | 0 | 1726 | | | | |
| $ 495,000 | Apartment | 3 | 2 | 0 | 1524 | | | | |
| $ 495,500 | Townhouse | 3 | 1 | 1 | 2274 | | | | |
| $ 499,000 | House | 5 | 4 | 0 | 3085 | | | | |
| $ 499,900 | Apartment | 2 | 2 | 0 | 1670 | | | | |
| $ 499,900 | Apartment | 2 | 2 | 0 | 1085 | | | | |
| $ 509,900 | Apartment | 3 | 2 | 0 | 1230 | | | | |
| $ 515,000 | House | 4 | 2 | 0 | 1600 | | | | |
| $ 535,000 | Apartment | 2 | 2 | 1 | 1952 | | | | |
| $ 539,900 | Apartment | 2 | 2 | 0 | 1370 | | | | |
| $ 575,000 | Apartment | 2 | 2 | 0 | 1230 | | | | |
| $ 585,000 | Apartment | 2 | 2 | 0 | 1057 | | | | |
| $ 599,900 | Apartment | 3 | 2 | 0 | 1627 | | | | |
| $ 639,900 | Apartment | 3 | 2 | 0 | 1352 | | | | |
| $ 649,900 | House | 4 | 2 | 1 | 2180 | | | | |
| $ 685,000 | House | 3 | 2 | 0 | 2100 | | | | |
| $ 699,000 | House | 3 | 1 | 0 | 1840 | | | | |
| $ 699,900 | Apartment | 2 | 2 | 0 | 1296 | | | | |
| $ 709,000 | Townhouse | 5 | 2 | 1 | 3220 | | | | |
| $ 759,000 | House | 3 | 1 | 1 | 2440 | | | | |
| $ 795,000 | House | 4 | 3 | 0 | 2800 | | | | |
| $ 799,000 | Apartment | 2 | 2 | 0 | 1600 | | | | |
| $ 799,900 | Apartment | 3 | 2 | 0 | 1350 | | | | |
| $ 799,900 | Apartment | 2 | 2 | 0 | 1318 | | | | |
| $ 859,900 | House | 4 | 2 | 1 | 2273 | | | | |
| $ 975,000 | House | 7 | 3 | 2 | 4860 | | | | |
| $ 995,000 | Apartment | 3 | 2 | 1 | 2347 | | | | |
| $ 995,000 | House | 5 | 2 | 1 | 3580 | | | | |
| $ 999,900 | House | 4 | 3 | 0 | 4000 | | | | |
| $ 999,999 | House | 4 | 2 | 1 | 3307 | | | | |
| $ 1,180,000 | House | 5 | 2 | 1 | 4357 | | | | |
| $ 1,300,000 | Apartment | 2 | 2 | 0 | 1346 | | | | |
| $ 1,395,000 | House | 4 | 3 | 1 | 4724 | | | | |
| $ 1,399,000 | House | 5 | 3 | 1 | 3218 | | | | |
| $ 1,425,000 | Apartment | 2 | 2 | 1 | 2472 | | | | |
| $ 1,575,000 | Apartment | 3 | 2 | 1 | 1911 | | | | |
| $ 1,579,750 | House | 4 | 3 | 1 | 3617 | | | | |
| $ 1,599,000 | House | 5 | 4 | 1 | 5200 | | | | |
| $ 1,895,000 | House | 4 | 4 | 1 | 5200 | | | | |
| $ 2,490,000 | House | 6 | 4 | 1 | 5025 | | | | |
| | | | | | | | | | |
a. A recent article indicated that the mean list price of the homes is more than $600 000. Can we conclude that the mean list price is more than $600 000? Use the 0.01 significance level.
State the null hypothesis and the alternate hypothesis.
H 0 : µ ≤
H 1 : µ >
What is the p -value? (Round the final answer to 4 decimal places.)
p -value is .
What is your decision regarding H 0 ?
There is (Click to select) not enough enough evidence to reject the null hypothesis.
b. The same article reported the mean size was less than 2100 square feet. Can we conclude that the mean size of homes listed is less than 2100 square feet? Use the 0.01 significance level.
State the null hypothesis and the alternate hypothesis.
H 0 : µ ≥
H 1 : µ <
What is the p -value? (Round the final answer to 4 decimal places.)
p -value is .
What is your decision regarding H 0 ?
There is (Click to select) enough not enough evidence to reject the null hypothesis.
c. Determine the proportion of homes that are apartments. (Round the final answer to 4 decimal places.)
Proportion of homes that are apartments
At the 0.05 significance level, can we conclude that less than 60% of the homes listed are apartments? State the null hypothesis and the alternate hypothesis.
H 0 : p ≥
H 1 : p <
What is the p -value? (Round the final answer to 4 decimal places.)
p -value is .
What is your decision regarding H 0 ?
There is (Click to select) not enough enough evidence to reject the null hypothesis.
d. Determine the proportion of homes with more than two bedrooms. (Round the final answer to 3 decimal places.)
Proportion of homes with more than two bedrooms
At the 0.05 significance level, can we conclude that less than 60% of the homes listed have more than two bathrooms? State the null hypothesis and the alternate hypothesis.
H 0 : p ≥
H 1 : p <
What is the p -value? (Round the final answer to 4 decimal places.)
p -value is .
What is your decision regarding H 0 ?
There is (Click to select) enough not enough evidence to reject the null hypothesis.
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Statistical Techniques In Business And Economics
Authors: Douglas Lind, William Marchal
16th Edition
78020522, 978-0078020520
