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The Most Significant Change Technique (MSC) is a monitoring and evaluation (M&E) method used for the monitoring and evaluating of complex development interventions. It was developed by Rick Davies as part of his PhD field work with the Christian Commission for Development in Bangladesh (CCDB) in 1994. [ 1 ]
Original file (1,275 × 1,650 pixels, file size: 271 KB, MIME type: application/pdf, 3 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
A PDF file is organized using ASCII characters, except for certain elements that may have binary content. The file starts with a header containing a magic number (as a readable string) and the version of the format, for example %PDF-1.7. The format is a subset of a COS ("Carousel" Object Structure) format. [24]
Sample size determination or estimation is the act of choosing the number of observations or replicates to include in a statistical sample. The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample.
In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...
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