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4. Functions of Random Variables and Sampling Distribution  189





















                                  Figure 4.2.1. The Histogram of 1000 Sample Values Drawn
                                          According to the PDF f(x) from (4.2.13)
                           These x ’s form a random sample of size 1000 from a population with its pdf
                                 i
                           f(x) given by (4.2.13). Next, using the MINITAB Release 12.1, a histogram
                           was constructed from these 1000 sample values x , x , ..., x 1000  which is
                                                                          2
                                                                       1
                           presented in the Figure 4.2.1. This histogram provides a sample-based picture
                           approximating the true pdf given by (4.2.13).

















                                     Figure 4.2.2. The Plot of the PDF f(x) from (4.2.13)

                              In this situation, we know the exact form of the pdf f(x) which is plotted
                           between –0.5 and 2.5 in the Figure 4.2.2 with the help of MINITAB, Release
                           12.1. Visual examinations reveal that there are remarkable similarities between
                           the histogram from the Figure 4.2.1 and the plot of f(x) from the Figure
                           4.2.2. In practice, a sample-based histogram is expected to be a good ap-
                           proximation of the population distribution, particularly if the sample size is
                           not too small. !
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