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2 holding B constant For independent data, d bar , the variance 2 2 2 of d-bar, can be estimated by sd bar = (sd1 + sd2 )/4 Then this 2 sample estimate of d bar can be used to test the null hypothesis that -bar = 0 with any d-bar, and to form a CI for -bar The main effect of B can be tested in the same manner When interaction is of interest, the research question is: Are the differences due to Factor A the same at all levels of B This can be addressed by testing the null hypothesis that 1 = 2 , or H0 : 1 2 = 0 Obviously, the unbiased sample estimate of 1 2 is d1 d2 with a sampling variance 2 2 2 2 d1 d2 , which can be estimated by sd1 d2 = (sd1 + sd2 ).

Therefore the null hypothesis can be tested with the variance of d1 d2 estimated from the sample, and the CI for 1 2 can be formed Supposed that in an altered version of the study of psychological impairment from alcoholism, the researcher is interested whether alcoholism has an effect on participants performance on the psychological test independent of gender, and whether alcoholism affects males and females performance differently The rst question is a question of the main-effect of alcoholism, and the latter is a question of the interaction of gender and alcoholism Suppose that in addition to the data presented in Table 253, 25 male alcoholics and 25 male nonalcoholics are also given the same performance test To test the main-effect of alcoholism, a dominance analysis is performed for males by comparing male alcoholics and male nonalcoholics, and a similar d analysis is performed for females.

As seen, for the simulated data, df , which shows the tendency for female alcoholics to take a longer time to complete the performance test than female nonalcoholics, is 389 2 The sample estimate of the variance of df is sd f = (154) 2 = 0237 Analysis for male participants (data not shown) 2 yields dm = 425 and sdm = 0328 Then, d-bar = (389 + 2 425)/2 = 407, and sd bar = (0237 + 0328)/4 = 0141 The CI for -bar can be obtained by inserting these quantities into Equation 2514 Carrying out the calculation, we found the CI for -bar to be (126, 674), which does not contain zero Therefore, the H0: -bar = 0 should be rejected.

he objects in our homes are becoming smart Not just the obvious ones like the TV and stereo, but also the more mundane ones like the stove and vacuum cleaner The smart home movement of a decade ago with its centralized house computer is giving way to the emergent phenomena of all the little parts of our homes becoming smart If you have a Roomba robotic vacuum cleaner, you re already aware of this Roomba has more computing power than large corporations could afford in the 1960s Imagine what bits of disposable computing will be present in our everyday devices a few decades from now A smart object is useful, but as anyone who has used the Internet can attest to, connecting smart objects with each other leads to entirely new and higher-level interactions.

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The conclusion is that male and female alcoholics tend to be slower in completing the performance test than are male and female nonalcoholics To answer the question of whether there is a gender difference in the effect of alcoholism on performance, the null hypothesis m f = 0 is tested Here, dm df = (425 2 389) = 036, sd1 d2 = (0237 + 0328) = 0565 Inserting these quantities into Equation 2570 gives a CI for m f as ( 075, 147) Because the CI contains zero, the null hypothesis is not rejected, and it is concluded that a gender difference in the effect of alcoholism on subjects performance is not found..

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

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