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10-w11-stats250-bgunderson-chapter-11-ci-for
10-w11-stats250-bgunderson-chapter-11-ci-for

... If larger std dev from group with larger sample size, pooled acceptable, conservative (produces wider interval). If smaller std dev from group with larger sample size, pooled produces misleading narrower interval. Bottom-line: Pool if reasonable; but if sample std devs not similar, we have unpooled. ...
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Reading assignment: SAS textbook, Chapter 2

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13 Testing the mean of a population (Small sample).

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File - CHED-BU Zonal Research Center

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... b) P (Male) = 60/200 from 24+36 = 60 is total males without looking their marital status. c) P (S/M) = 24/60 from single but among males, that is why we divide it by 60! d) P (F/Married) = 84/120, question is saying the worker is female – GIVEN; female and married, so choose the married females and ...
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Statistics Exercises - Università degli Studi di Roma "Tor Vergata"

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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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