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TPS 4e New Reading Guides Chaps 8-12
TPS 4e New Reading Guides Chaps 8-12

... 9. Can you use confidence intervals to decide between two hypotheses? What is the advantage to using confidence intervals for this purpose? ...
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... For instance, since the mean in our example is 20.875 and the standard deviation is 7.0799, we can from the above statement estimate that approximately 95% of the scores will fall in the range of 20.875-(2*7.0799) to 20.875+(2*7.0799) or between 6.7152 and 35.0348. This kind of information is a crit ...
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Hypothesis testing - Columbia Statistics

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X 1

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Probability Instructional Unit

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APPENDIX PROBABILITY AND HYPOTHESIS TESTING IN BIOLOGY ESTIMATING PROBABILITY

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Confidence Intervals – Introduction

... reliability of estimation. • For example, the sample mean X is a point estimate of the population mean μ but because of sampling variability, it is virtually never the case that x  . • A point estimate says nothing about how close it might be to μ. • An alternative to reporting a single sensible v ...
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Sec. 8.1 PowerPoint

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mt_1_w05_222_soln - University of Windsor

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Chapter 7 MC Retake Practice

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Chapter 8: Random-Variant Generation

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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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