MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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To estimate a population mean μ, the sample mean x¯ is often used as an estimator. However, a different estimator is called the sample midrange, given by the formula sample minimum + sample maximum/ 2.

(a) The following table shows the values, in thousands of dollars, of 40 randomly selected houses in the city.

(i) Calculate the sample midrange for the data.

(ii) Explain why the sample midrange might be preferred to the sample mean as an estimator of the population mean.

(b) To investigate the sampling distribution of the sample midrange, a simulation is performed in which 100 random samples of size n=40 were selected from the population of house values. For each sample, the sample midrange was calculated and recorded on the following dotplot. The mean of the distribution of sample midranges is $617,000 with standard deviation $136,000. Based on the results of the simulation, explain why the sample mean might be preferred to the sample midrange as an estimator of the population mean.

 

 

400
500
600
700
800
900
1,000
1,100
Sample Midrange (thousands of dollars)
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Transcribed Image Text:400 500 600 700 800 900 1,000 1,100 Sample Midrange (thousands of dollars)
34
38
95
137
140
155
155
207
110
169
209
217
314
314
323
343
347
349
363
274
369
388
389
397
416
448
483
487
373
450
488
516
571
595
600
738
762
769
863
1,084
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Transcribed Image Text:34 38 95 137 140 155 155 207 110 169 209 217 314 314 323 343 347 349 363 274 369 388 389 397 416 448 483 487 373 450 488 516 571 595 600 738 762 769 863 1,084
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