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read and written to the compressed folder or volume will have to be decompressed and recompressed, and (if there are lots of users) this can consume a considerable amount of CPU cycles and memory. If a server is being used to archive files, compression is often appropriate. Another good candidate for compression is the end-user workstation. With NTFS file compression, you can choose to compress folders containing infrequently accessed and highly compressible content, and still leave frequently accessed application and system folders uncompressed.
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11. Similarly, find the event handler for PostThrow and add this code:
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The toolbar at the top of the window includes several interesting elements that will help you find exactly what you need. Figure 3-9 shows the most important buttons on the toolbar.
1. I. Let p1 = the true proportion of students who admit to using marijuana in 2004. Let p2 = the true proportion of students who admit to using marijuana in 2007. H0: p1 = p2 (or H0: p1 p2 = 0; or H0: p1 p2; or H0: p1 p2 > 0). HA: p1 > p2 (or H0: p1 > p2). II. We will use a two-proportion z-test. The survey involved drawing random samples from independent populations. p1 = 27 = 0.27, p2 = 30 = 0.171. 100 175 100(0.27) = 27, 100(1 0.27) = 73, 175(0.171) 30, and 175(1 0.171) 145 are all greater than 10, so the conditions for inference are present. III. 27 + 30 p= = 0.207 z = 100 + 175 = 1.949 P-value = 0.026. (This problem can be done using 2-PropZTest in the STAT TESTS menu.) IV. Since the P-value is quite small (a finding this extreme would occur only about 2.6% of the time if there had been no decrease in usage), we have evidence that the rate of marijuana use among students (at least among juniors and seniors) has decreased. 0.27 0.171 1 1 (0.207 ) (1 0.207 ) 100 + 175
link the GPO to all client computer accounts created with the Set Up Client Wizard.
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