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A Brief History of Spreadsheets . . . . . . . . . . . . . . . . . . . . . . . . . . 3 It all started with VisiCalc . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Lotus 1-2-3 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Quattro Pro . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Microsoft Excel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 Spreadsheets Today . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Why Excel Is Great for Developers . . . . . . . . . . . . . . . . . . . . . . . . 14 Excel s Role in Microsoft s Strategy . . . . . . . . . . . . . . . . . . . . . . . 15

For example, 12 items designed to measure each of 10 factors could be used to form four item parcels per factor that are actually used in the analysis (eg, take the average of the 1st, 5th, and 9th indicators to form one parcel, the 2nd, 6th, and 10th indicators to form a second parcel, and so forth) However, the use of item parcels is fraught with difficulties and should be pursued with caution Bandalos and Finney (2001), in a review of articles in major education, psychology, and marketing journals, found that 20% of the applied CFA /SEM studies used some type of parceling procedure The posited advantages of parcels included increased reliability of item-parcel responses, less violation of normality assumptions, closer approximations to normal theory-based estimation, fewer parameters to be estimated (optimizing the variable to N.

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The rst navigation systems used the stars, followed by the Sun when the Portuguese realized that the Pole Star was not available when south of the equator. After this came arti cial stars the lighthouses the most famous certainly being the one located in the harbor of Alexandria and which is one of the Seven Wonders of the World. The familiar drawback of optical systems concerns the propagation characteristics of this very high frequency electromagnetic wave; it can be quite directional but is easily stopped by obstacles such as clouds (for the stars and the Sun), fog or rain (for lighthouses), or hills or mountains when considering terrestrial systems. So radio systems are now widely spread, but optical systems still present some interesting problems.

Louis and consisted of two glass tubes held at a de ned distance by a metal spacer in a rectangular well (Fig 111) When cardiac myocytes were mixed with neutralized liquid collagen I and pipetted between the two glass tubes they yielded biconcave lattices spanning between the glass tubes Contractile force could easily be measured by transferring CMPMs in an organ bath and suspending the glass tube-anchored lattices between a xed holder and a force transducer What we learned in this system was the importance of mechanical strain At the free edges, the region of increased strain, cells formed a dense network of muscle bundles that were oriented along the edges, that is, in the direction of the strain (See Fig 111) In contrast, cells formed only a loose and randomly oriented network in the central parts of the lattices (See Fig 111).

Recall that depending on the objective of our analysis, we should be aware of the dangers of multicollinearity among the predictor variables. We therefore investigate the pairwise correlation coef cients among the predictors and note those correlations that are the strongest. Table 7.5 contains a listing of the pairwise correlations that are the strongest in absolute value among the predictors. Figure 7.21 shows a scatter plot of z ln total net sales versus z ln number of items purchased, with a response overlay. The strong positive correlation is evident in that as the number of items purchased increases, the total net sales tends to increase.

Thus, the dependence of X and Y is decreased (or remains unchanged) by the observation of a downstream random variable Z. Note that it is also possible that I (X; Y |Z) > I (X; Y ) when X, Y , and Z do not form a Markov chain. For example, let X and Y be independent fair binary random variables, and let Z = X + Y . Then I (X; Y ) = 0, but I (X; Y |Z) = H (X|Z) H (X|Y, Z) = H (X|Z) = P (Z = 1)H (X|Z = 1) = 1 bit. 2 2.9 SUFFICIENT STATISTICS

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