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Math 230 Sample Final Exam
Math 230 Sample Final Exam

... timed trials for Nursing majors teams of four people to complete various tasks is known to have a mean of 20 minutes. While the various tasks differ, they are all designed to take the same amount of time. While variability occurs based on the particular Nursing team and the particular task, the popu ...
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... 5. In a very large school district student records have been kept in three distinct data bases, one each for elementary, middle, and high school. Because of this, data entry errors tend to be compounded as students move through the grades. The district now has a new data base and wishes to fix the o ...
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Chapter 4: Hypothesis Tests

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... 5. A sample of 146 university students who recently moved off-campus were polled to see whether they agree that off-campus living is preferable to on-campus living. In addition, each was asked how many people live in their current off-campus residence. The results are summarized in the following con ...
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Examples of Some Simple Hypothesis Tests

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Hypothesis Tests – Some Examples

... calcium, when in fact they are. The IDFA might then stop its ad campaign, even though it would be effective in convincing male teenagers to consume enough calcium. Step 3: Since we are testing a hypothesis about a population mean, the test statistic is X  1000 mg T , which under H0 has a t distrib ...
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... (a) The data can be viewed as a simple random sample from the population of interest. (b) The population standard deviation  is known. (c) The population distribution is Normal or the sample size is large (say n > 30). (d) The data represent n independent observations. (e) np  10 and n(1  p)  10 ...
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Basic Statistics

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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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