Variable | Obs Mean Std. Dev. Min Max -----------+------------------------------------------------------- Population | 1000 .5000000 .2886751 .0000000 1 .0000000 n = 5 | 1000 .5036115 .125487 .106075 .8491938 n = 20 | 1000 .5000545 .0637908 .2998779 .6954108 n = 36 | 1000 .5044926 .048932 .3551762 .6496101
Here are plots of the population and each of the sampling distributions:
Figure 1: Population Distribution
Figure 2: Sampling Distribution for n = 5
Figure 3: Sampling Distribution for n = 20
Figure 4: Sampling Distribution for n = 36
Now let's try repeat the process of drawing 1,000 samples of n = 5, n = 20 and n = 36 from a highly skewed population:
Variable | Obs Mean Std. Dev. Min Max -----------+------------------------------------------------------- Population | 1000 1.088532 .6348374 .1219511 4.914284 n = 5 | 1000 1.11774 .3052395 .3961306 2.660268 n = 20 | 1000 1.116671 .1449324 .7067162 1.773374 n = 36 | 1000 1.108628 .1043764 .8531538 1.515452
Here are plots of the population and each of the sampling distributions:
Figure 5: Population Distribution
Figure 6: Sampling Distribution for n = 5
Figure 7: Sampling Distribution for n = 20
Figure 8: Sampling Distribution for n = 36
use http://www.philender.com/courses/data/lahigh, clear histogram daysatt, freq discrete bs "summarize daysatt" "r(mean)",reps(1000) size(150) saving(mybs) command: summarize daysatt statistic: r(mean) (obs=316) Bootstrap statistics Variable | Reps Observed Bias Std. Err. [95% Conf. Interval] ---------+------------------------------------------------------------------- bs1 | 1000 74.65823 -.0141592 .9349639 72.82351 76.49294 (N) | 72.78667 76.37667 (P) | 72.72 76.34666 (BC) ----------------------------------------------------------------------------- N = normal, P = percentile, BC = bias-corrected use mybs histogram bs1, freq
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Phil Ender, 30Jun98