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1 ISC 207 Practice questions for Quiz-3 (Solutions)
1 ISC 207 Practice questions for Quiz-3 (Solutions)

... 3. As the sample size increases, the standard deviation of sample mean decreases. T / F True, because the standard deviation of sample mean is σ/sqrt(n). So as n increases, the std. dev. decreases. 4. As the confidence level increases, the size of the confidence interval decreases (For the same samp ...
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Descriptive Statistics - Section 15.2-15.3 - ACU Blogs

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Confidence Intervals - FSCJ - Library Learning Commons

... parameter because it doesn‟t take into account the inherent uncertainty of how close it is to the real value of the parameter. 4. The accuracy of the point estimate as a predictor of the corresponding parameter can be significantly strengthened by the addition of a margin of error, which is often re ...
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... Unlike the mean, the median is a good measure of central tendency to use when describing a heavily skewed set of scores. Returning to our example from above, our student’s median test score would be 94%, which is a much better indication of the student’s overall performance. Thus, the median is a be ...
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... Total divided by number of factors; You are saying that all factors will have equal amounts i.e. In the case of bags of M&M’s you would be saying that there is an equal number of each color in each bag A known statistic you are comparing your results to./ ie. We compare the number of M&M’s, by color ...
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Stat 201 Introductory Statistics (Lecture 1)

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Statistical Analysis of Proportions

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Statistical Analysis of Proportions

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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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