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CHIINV CONFIDENCE CRITBINOM
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DSTDEV DSTDEVP DVAR DVARP FINV FORECAST GAMMAINV GROWTH HYPGEOMDIST
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INTERCEPT LINEST LOGEST LOGINV LOGNORMDIST NEGBINOMDIST
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Part 1: Preliminaries
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What s New in Excel 2003
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Table 1-1.
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Improved Statistical Functions
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Returns the number of standard deviations a value is away from the mean in a normal distribution. Returns a value that reflects the probability a random value selected from a distribution will be above it in the distribution. Returns a standard normal distribution, with a mean of 0 and a standard deviation of 1. Returns a value that reflects the probability a random value selected from the standard normal distribution will be above it in the distribution. Returns a value that reflects the strength of the linear relationship between two data sets. Returns the probability of a number of events happening, given the Poisson distribution of events. Generates a random value. Returns the square of the Pearson coefficient of two sets of values. Returns the slope of a line. Estimates the standard deviation of a numerical data set based on a sample of the data. Estimates the standard deviation of a data set (which can include text and true/false values) based on a sample of the data. Calculates the standard deviation of a numerical data set. Calculates the standard deviation of a data set (which can include text and true/false values). Returns the predicted standard error for the y value for each x value in a regression. Returns a t value based on a stated probability and degrees of freedom. Returns values along a trend line. Estimates the variance of a data sample. Estimates the variance of a data set (which can include text and true/ false values) based on a sample of the data. Calculates the variance of a data population. Calculates the variance of a data population, which can include text and true/false values. Returns the probability that the mean of a data sample would be greater than the observed mean of data in the set.
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1
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NORMDIST NORMINV NORMSDIST NORMSINV PEARSON POISSON RAND RSQ SLOPE STDEV STDEVA STDEVP STDEVPA STEYX TINV TREND VAR VARA VARP VARPA ZTEST
Part 1: Preliminaries
Microsoft Office Excel 2003 Programming Inside Out
Creating Smart Documents
1
Excel workbooks have always been able to interact with other Office documents, but those interactions have been somewhat limited. Creating links to data on the Web, in a database, or in another Office document are all valuable abilities, but the workbook was simply a standalone collection of bits. In Office 2003, smart documents are Office documents that have metadata (that is, data that tells the document about itself) with information regarding how they fit within a business process, allowing the documents to take programmed actions based on that context. As an example, if you work at a technical services firm that uses an Excel-based template to track the time you spend on various projects, you probably create a new workbook (with one worksheet) at the beginning of every week, save it with your identifying information, and fill in your time at the end of each day. Then, at the end of the week, you either save the workbook to a network folder or e-mail the workbook to your administrative contact. Smart doc uments, by contrast, have programming that fills in the details about how your timecard fits in the business process. When you create a new timecard workbook, Excel recognizes who you are and fills in your personal data (name, employee number, projects, etc.). Then, when you re ready to leave for the week, the smart document displays a button that lets you send the workbook to the next stage in the process. And as far as you re concerned, it doesn t mat ter what mechanism is used to send the data along; it could be written to a database, saved as a worksheet in a workbook elsewhere on the network, incorporated into data on a BizTalk server tracking workflow issues, or attached to a Microsoft Outlook e-mail message and sent to your administrative contact.
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