In: Statistics and Probability
Collect the DataCheck the Real Estate section in your local newspaper. Record the sale prices for 35 randomly selected homes recently listed in the county.
NOTE
Many newspapers list them only one day per week. Also, we will assume that homes come up for sale randomly.
588777 |
654345 |
679231 |
514567 |
589876 |
456342 |
576567 |
543786 |
680364 |
324176 |
578354 |
348729 |
745368 |
635478 |
736453 |
491847 |
764836 |
734629 |
438274 |
645274 |
364846 |
456739 |
873937 |
645278 |
573847 |
745636 |
736547 |
836474 |
254637 |
746473 |
543729 |
562437 |
638746 |
769373 |
738392 |
Describe the Data'
Compute the following:
x¯ = 606124.6857
sx = 149131.0695
n = 35
Find the Confidence Interval
Figure 8.6
Describe the Confidence Interval
Use the Data to Construct Confidence Intervals
Confidence level | EBM/Error Bound | Confidence Interval |
---|---|---|
50% | ||
80% | ||
95% | ||
99% |
Table 8.6
90% CI: (563500.3, 648749.1), where, t0.05,34=1.6909 (R code: round(qt(1-0.05,34),4))
Error bound=42624.4
No. of observations which lie in (563500.3, 648749.1)=9.
Percentage of observations which lie in (563500.3, 648749.1)=(9/35)*100=26%
Bcause 90% of CI for population mean means we are 90% confident that true mean lies in that interval and this is does not mean almost 90% of observations fall within this interval.
The CI is a range of values that is likely to include a population mean with a certain degree of confidence. Here we 90% confident that true mean lies in (563500.3, 648749.1).
Confidence level | Error bound | CI |
50% | 17185.99 | (588938.7, 623310.7) |
80% | 32945.31 | (573179.4, 639070.0) |
95% | 51228.31 | (554896.4, 657353.0) |
99% | 68776.69 | (537348.0, 674901.4) |