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Name: Date: Unit 5 (Part 1- Ch 18 and 19) Test Review Inferring
Name: Date: Unit 5 (Part 1- Ch 18 and 19) Test Review Inferring

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... minutes) on a single gallon of regular gasoline. Suppose a simple random sample of 50 engines is tested. The engines run for an average of 295 minutes, with a standard deviation of 20 minutes. Test the null hypothesis that the mean run time is 300 minutes against the alternative hypothesis that the ...
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... sampling the permutations, instead of trying to write them all down. This is useful when m+n is large… • Do as before: – assign experimental units to the two groups at random and compute the difference between the means of the two groups, Dobs . There are m units assigned to group1 and n units to gr ...
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... selling price. Suppose that one analyst believes that the mean difference between selling asking price and selling price for homes in a particular market area is less than $2,000. To test this using an alpha level equal to 0.05, a random sample of n = 15 homes that have sold recently was selected. T ...
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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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