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Normally, Excel uses what s known as A1 notation. Each cell address consists of a column letter and a row number. However, Excel also supports R1C1 notation. In this system, cell A1 is referred to as cell R1C1, cell A2 as R2C1, and so on. To change to R1C1 notation, select Tools Options, click the General tab, and place a check mark next to R1C1 reference style. After you do so, you ll notice that the column letters all change to numbers. All the cell and range references in your formulas are also adjusted. Table 3-1 presents some examples of formulas using standard notation and R1C1 notation. The formula is assumed to be in cell B1 (also known as R1C2).



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As he imported the products that salons needed and ran his own nail salon, Ton looked for an opportunity to expand the market In 1997, he achieved his breakthrough He convinced Wal-Mart to test in-store salons in a few locations Ton noted that 70 percent of Wal-Mart shoppers were women He suspected they might indulge in an affordable luxury, and he was right Business soared and the chain grew from year to year In late 2008, Ton licensed his 1,000th franchise Though a proud US citizen, Ton remains very much an immigrant businessman in a niche industry Almost all of his franchises are owned by fellow Vietnamese immigrants, whom he prefers to deal with He believes a refugee ordeal shapes devoted workers They work very hard, 10 to 12 hours a day, he said They save money.





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The diagram in Figure 6.22 shows the logic flow that was used for both the encoding and decoding of this technique.

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They don t spend money, they save so that their children can go to good schools He and his wife, Phuong Le, practice the same strategy They push their two young daughters to achieve A s in the classroom They occupy their after-school time with piano lessons, gymnastics, ballet, and swimming..

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who did not watch television studied frequently, a perfect 1.00 correlation coefficient would likely surface from the statistical equation that calculates the coefficient. Scores close to +1.00 reflect a nearly perfect positive correlation; as scores on one variable increases, so do the scores on the other. Furthermore, a positive correlation also occurs when scores on both variables of interest are low. For example, if scores on depression and scores on hopelessness are assessed in a large group of people, they are likely to be positively correlated. Thus, those who tend to score high on depression are also likely to score high on hopelessness, while those who score low on depression are also likely to score low on hopelessness. When there is no correlation between two variables (e.g., shoe size and intelligence), the correlation is close to .00. It is important to emphasize that the association between two or more variables does not mean that one necessarily caused the other. Correlation does not imply causality. Thus, television viewing does not necessarily cause inadequate studying, and depression does not necessarily cause hopelessness. Additional variables not assessed in a given experiment or study may operate to influence the correlation coefficient. For example, perhaps unmotivated students watch a great deal of television and spend very little time studying. Perhaps these students would spend very little time studying no matter how much television they watched. Other factors (e.g., interest in the subject matter) may also play a role.

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