Statistical symbols and meanings
[DOC File]Preparing to Teach Statistics
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The language used in statistics includes many familiar words but with different or more precise meanings than students use. For example: normal, random, sample, average, variable, and distribution are introduced to students as new vocabulary words with statistical definitions, yet students often resort to their own familiar interpretations of ...
[DOC File]Recommendation 1: Emphasize statistical literacy and ...
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Recommendation 1: Emphasize statistical literacy and develop statistical thinking. We define statistical literacy as understanding the basic language of statistics (e.g., knowing what statistical terms and symbols mean and being able to read statistical graphs), and …
[DOCX File]www.wrschool.net
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STATISTICAL & PROBABILISTIC REASONING(SPR) ... As they manipulate the symbols, they can pause as needed to access the meaning of the numbers, the units, and the operations that the symbols represent. Mathematically proficient students know and flexibly use different properties of operations, numbers, and geometric objects and when appropriate ...
[DOC File]How we think about meaning, and what’s wrong with it
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Problems framed as finding the most likely output given particular input often can be solved by statistical algorithms which do not attend to the meanings of the input and output. The tremendous successes of natural language research at ISI and elsewhere attest to the power of statistical algorithms. ... We assign meanings to the symbols that ...
[DOC File]Citations/References in Text
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Statistical Abbreviations and Symbols (pp. 140-146) Most statistical symbols are written in italics (e.g., N, F, t, H0). See the table on the pages listed above for more information. Common Writing Errors . Note: This list is not complete. Refer to writing guides or writing assistance for complete guidance. Citing
[DOC File]Formula Sheet and List of Symbols, Basic Statistical Inference
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Formula Sheet and List of Symbols, Basic Statistical Inference. Symbol What it Represents. X variable. sample mean. μ population mean. s sample standard deviation. s2 sample variance. σ population standard deviation. σ2 population variance. sample proportion. p population proportion. q 1-p. n sample size. α significance level
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