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Consider the following sample of houses in a local neighbourhood. Sample of House prices in $1000s of dollars 677 695 806 1011 564 1156 399
Consider the following sample of houses in a local neighbourhood.
Sample of House prices in $1000s of dollars | ||||
677 | 695 | 806 | 1011 | 564 |
1156 | 399 | 772 | 630 | 1114 |
1144 | 507 | 516 | 613 | 706 |
877 | 1146 | 656 | 753 | 548 |
445 | 579 | 500 | 581 | 664 |
826 | 956 | 1146 | 680 | 886 |
746 | 1146 | 481 | 747 | 477 |
It is reported that the average house price in Greater Victoria is $800 (x$1000).
- Using the five-step hypothesis test procedure, test at the ten percent level whether there is evidence that this neighbourhood's average price is less than the municipal average. Use a stats program like R or Excel to calculate the P-values. Interpret what this P-value means.
- Using the five-step hypothesis test procedure, test at the five percent level whether there is evidence that this neighbourhood's average price is less than the municipal average. Use a stats program like R or Excel to calculate the P-values. Interpret what this P-value means.
- Do you get different outcomes based on the above significance levels?
- Does it matter if we choose a significance level before vs after we have viewed our results? Explain.
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