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2. Missing data - Wikipedia

   en.wikipedia.org/wiki/Missing_data

   Missing not at random (MNAR) (also known as nonignorable nonresponse) is data that is neither MAR nor MCAR (i.e. the value of the variable that's missing is related to the reason it's missing). [5] To extend the previous example, this would occur if men failed to fill in a depression survey because of their level of depression.

3. Spreadsheet - Wikipedia

   en.wikipedia.org/wiki/Spreadsheet

   Formulas in the B column multiply values from the A column using relative references, and the formula in B4 uses the SUM() function to find the sum of values in the B1:B3 range. A formula identifies the calculation needed to place the result in the cell it is contained within. A cell containing a formula, therefore, has two display components ...

4. Imputation (statistics) - Wikipedia

   en.wikipedia.org/wiki/Imputation_(statistics)

   That is to say, when one or more values are missing for a case, most statistical packages default to discarding any case that has a missing value, which may introduce bias or affect the representativeness of the results. Imputation preserves all cases by replacing missing data with an estimated value based on other available information.

5. Microsoft Excel - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Excel

   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).

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7. Checksum - Wikipedia

   en.wikipedia.org/wiki/Checksum

   The procedure which generates this checksum is called a checksum function or checksum algorithm. Depending on its design goals, a good checksum algorithm usually outputs a significantly different value, even for small changes made to the input. [ 2 ]

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9. Linear congruential generator - Wikipedia

   en.wikipedia.org/wiki/Linear_congruential_generator

   Adding a non-linear output mixing function (as in the xoshiro256** and permuted congruential generator constructions) can greatly improve the performance on statistical tests. Another structure for a PRNG is a very simple recurrence function combined with a powerful output mixing function.