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Statistics Presentation
Statistics Presentation

explainPValues
explainPValues

HYPOTHESIS TESTING We have already described how the
HYPOTHESIS TESTING We have already described how the

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... this claim, we have him attempt 50 free-throws. He makes 32 of them. His sample proportion of made shots is 32/50 = 0.64. What can we conclude about the claim based on this sample data? We can use software to simulate 400 sets of 50 shots assuming that the player is really an 80% shooter. You can sa ...
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... • This inferential statistics analysis considers passing the criteria to provide 100% likelihood of survival while SOLAS determines survival probability for individual cases • The SOLAS method requires analysis of every location on the ship while the inferential statistics method allows for a sample ...
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... 9. (6%) The circuit shown below operates only if there is a path of functional devices from left to right. The probability that each device functions is shown on the graph. Assume that devices fail independently. What is the probability that the circuit operates? ...
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Master Catalog - McMicken College of Arts and Sciences

p 0.05: Threshold for Decerebrate Genuflection
p 0.05: Threshold for Decerebrate Genuflection

... the premise must be false. If only two outcomes are possible, rejection of the null implies acceptance of its alternative. Therefore, either we reject the null— and by definition accept the alternative hypothesis—or we fail to reject the null hypothesis, and therefore cannot embrace its logical alte ...
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PPT - StatsTools

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171SB2_tut6_08

< 1 ... 239 240 241 242 243 244 245 246 247 ... 269 >

Foundations of statistics

Foundations of statistics is the usual name for the epistemological debate in statistics over how one should conduct inductive inference from data. Among the issues considered in statistical inference are the question of Bayesian inference versus frequentist inference, the distinction between Fisher's ""significance testing"" and Neyman-Pearson ""hypothesis testing"", and whether the likelihood principle should be followed. Some of these issues have been debated for up to 200 years without resolution.Bandyopadhyay & Forster describe four statistical paradigms: ""(1) classical statistics or error statistics, (ii) Bayesian statistics, (iii) likelihood-based statistics, and (iv) the Akaikean-Information Criterion-based statistics"".Savage's text Foundations of Statistics has been cited over 10000 times on Google Scholar. It tells the following.It is unanimously agreed that statistics depends somehow on probability. But, as to what probability is and how it is connected with statistics, there has seldom been such complete disagreement and breakdown of communication since the Tower of Babel. Doubtless, much of the disagreement is merely terminological and would disappear under sufficiently sharp analysis.
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