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Microsoft Excel is a spreadsheet editor developed by Microsoft for Windows, macOS, Android, iOS and iPadOS. It features calculation or computation capabilities, graphing tools, pivot tables, and a macro programming language called Visual Basic for Applications (VBA). Excel forms part of the Microsoft 365 suite of software.
Data Analysis Expressions. Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and ...
A spreadsheet is a computer application for computation, organization, analysis and storage of data in tabular form. [1][2][3] Spreadsheets were developed as computerized analogs of paper accounting worksheets. [4] The program operates on data entered in cells of a table. Each cell may contain either numeric or text data, or the results of ...
The purpose of double-entry bookkeeping is to allow the detection of financial errors and fraud. For example, if a business takes out a bank loan for $10,000, recording the transaction in the bank's books would require a DEBIT of $10,000 to an asset account called "Loan Receivable", as well as a CREDIT of $10,000 to an asset account called "Cash".
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September 2020. (2020-09) Founder. Andrew Grigolyunovich, CFA, MFM. Website. fmworldcup.com. The Financial Modeling World Cup (FMWC) is an organization that hosts various Microsoft Excel based competitions. The FMWC held its first competition in September 2020 and currently hosts three competitions: Financial Modeling World Cup (FMWC)
The QUARTILE function is a legacy function from Excel 2007 or earlier, giving the same output of the function QUARTILE.INC. In the function, array is the dataset of numbers that is being analyzed and quart is any of the following 5 values depending on which quartile is being calculated. [8]
Estimation statistics, or simply estimation, is a data analysis framework that uses a combination of effect sizes, confidence intervals, precision planning, and meta-analysis to plan experiments, analyze data and interpret results. [1] It complements hypothesis testing approaches such as null hypothesis significance testing (NHST), by going ...
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