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Frequency Distributions and Measures of Central Tendency

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GLM: Single predictor variables

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... $550,000. The 95% confidence interval for tax raised per business is therefore [$4,100 to $5,500]. Since the number of businesses leased in the city is 4,500, we are 95% confident that the amount raised will be $18,450,000 to $24,750,000. 35 of 41 Copyright © 2011 Pearson Education, Inc. ...
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Title of slide - Royal Holloway, University of London

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CONFIDENCE INTERVALS USING INTERVAL ARITHMETIC Juan

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Confidence Intervals for Information Retrieval Evaluation

... Sy , and we have a document set D, a random sample of queries Q and the associated relevance judgements, we simply generate the system score using a suitable evaluation metric E and compare the paired evaluation scores using a significance test. If a reader obtains two publications that have develop ...
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Chapter 2: Descriptive Statistics _____ provide facts and figures that

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Business Statistics, (c) 2015 Pearson Education, All Rights

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Confidence Intervals - University of Illinois Urbana

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Quantitative Methods in Geosciences Geology/Meteorology

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Chapter 7 One-way ANOVA

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Misuse of statistics

Statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.The false statistics trap can be quite damaging to the quest for knowledge. For example, in medical science, correcting a falsehood may take decades and cost lives.Misuses can be easy to fall into. Professional scientists, even mathematicians and professional statisticians, can be fooled by even some simple methods, even if they are careful to check everything. Scientists have been known to fool themselves with statistics due to lack of knowledge of probability theory and lack of standardization of their tests.
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