Refer to the CREA (Canadian Real Estate Association) data, which include information on average house prices nationally
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Refer to the CREA (Canadian Real Estate Association) data, which include information on average house prices nationally and in a selection of cities across Canada. Select the cities only.
The Canadian Real Estate Association compiles the statistics of existing homes and propertires sold through the Multiple Listing Service | | | | ||||||||
system. The website is: www.crea.ca | | | | Data updated Feb 2014 | | | | | | ||
| | | Average House Prices | | | | | | | | |
City | Jan-14 | Jan-13 | Jan-12 | Jan-11 | Jan-10 | Jan-09 | Jan-08 | Jan-07 | Jan-06 | Jan-05 | Jan-04 |
Victoria | 491,772 | 421,939 | 454,905 | 486,384 | 509,514 | 431,312 | 505,899 | 444,118 | 479,164 | 433,939 | 378,723 |
Vancouver | 812,536 | 748,651 | 752,380 | 762,562 | 637,637 | 536,162 | 588,183 | 530,695 | 457,374 | 387,426 | 354,135 |
Calgary | 444,153 | 418,938 | 382,468 | 394,655 | 382,009 | 362,143 | 408,672 | 375,746 | 289,130 | 241,290 | 219,774 |
Edmonton | 343,345 | 323,541 | 317,995 | 315,483 | 314,783 | 317,049 | 332,051 | 303,820 | 199,148 | 183,189 | 170,960 |
Regina | 335,213 | 299,700 | 284,744 | 260,133 | 240,274 | 227,818 | 198,585 | 117,468 | 132,091 | 115,693 | 113,437 |
Saskatoon | 332,133 | 320,812 | 309,828 | 300,353 | 270,191 | 278,545 | 258,444 | 190,028 | 149,923 | 142,741 | 130,169 |
Winnipeg | 262,683 | 248,720 | 237,832 | 229,716 | 213,134 | 177,718 | 174,902 | | | | |
Toronto | 526,528 | 482,648 | 463,534 | 427,159 | 409,058 | 343,632 | 374,449 | 353,724 | 332,670 | 334,254 | 310,190 |
Hamilton | 386,451 | 349,943 | 334,106 | 325,732 | 288,397 | 264,549 | 278,189 | 255,753 | | | |
Ottawa | 348,001 | 343,382 | 349,525 | 329,640 | 323,762 | 290,930 | 285,736 | 260,898 | 245,787 | 240,533 | 229,313 |
Montreal | 318,374 | 313,381 | 311,099 | 294,564 | 284,384 | 256,432 | 247,013 | | 204,920 | 193,669 | 176,992 |
Quebec City | 260,721 | 264,762 | 247,326 | 240,717 | 224,088 | 202,977 | 181,421 | | 142,463 | 138,522 | 125,066 |
Fredericton | 170,771 | 164,766 | 159,302 | 143,876 | 163,824 | 155,520 | 144,884 | 129,764 | 136,428 | 130,036 | 119,333 |
Saint John | 176,351 | 148,320 | 161,163 | 171,788 | 168,439 | 142,218 | 165,258 | 143,971 | 129,164 | 118,890 | 123,552 |
Halifax | 264,780 | 291,044 | 259,395 | 252,141 | 241,968 | 242,861 | 218,505 | 197,246 | 192,562 | 183,188 | 169,320 |
St John's | 333,429 | 329,528 | | | | | | | | 134,188 | 130,833 |
a. At the 0.01 significance level, can we conclude that the mean list price for January 2014 is more than January 2013? Compute the value of the test statistic and state the decision regarding the null hypothesis. (Round the final answer to 2 decimal places.)
Value of the test statistic
The decision is (Click to select) to reject not to reject H 0 .
b. What is the p -value? (Round the final answer to 4 decimal places.)
Value of the test statistic
Related Book For
Statistical Techniques in Business and Economics
ISBN: 978-0078020520
16th edition
Authors: Douglas Lind, William Marchal
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