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Solutions - FloridaMAO
Solutions - FloridaMAO

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Lecture 1

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... wider intervals for higher confidence levels. We are more confident of catching the population value when we use a wider interval. Example: In the year 2001 Youth Risk Behavior survey done by the U.S. Centers for Disease Control, 747 out of n = 1168 female 12th graders said the always use a seatbelt ...
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... Step 2: Use the command keep if region==1 (if your district is in the Central region, else change to 2, or 3 or 4 as appropriate). Step 3: Use the command label list distlab to determine the code used in the variable dist for your own district (Note: distlab is a label that holds label values for co ...
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Simple questions part 1

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North West MI Service - Statistics in Divided Doses Sept 01 Number 3

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... The incorrect observation changed the mean by 0.4 of an IQ point (giving 100.3 compared with a correct mean of 99.9), the trimmed mean by about 0.1 of an IQ point, and the median not at all. The largest discrepancy is in the standard deviation. Comments Unlike "textbook" examples, real data almost a ...
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... games are defined so that the gambler has a negative expected gain per play (the true mean gain after all possible plays is negative)  each play is independent of previous plays, so the law of large numbers guarantees that the average winnings of a large number of customers will be close the the (n ...
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Epidemiology - Faculty of pain medicine

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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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