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midterm1_99
midterm1_99

STA 130 (Winter 2017): An Introduction to Statistical
STA 130 (Winter 2017): An Introduction to Statistical

... • Questions: Is it fair? Am I cheating? How? • Flip it again? How many times? • Suppose I get Heads every time. − Does that show I’m cheating? − After one head? two heads? three? five? ten? − For sure?? How to decide? ...
Montgomery County High School - Montgomery County Public
Montgomery County High School - Montgomery County Public

Sampling and Hypothesis Testing
Sampling and Hypothesis Testing

Understanding the Structure of Scientific Data
Understanding the Structure of Scientific Data

Multiple choice REVIEW QUESTIONS: Inference for mean difference.
Multiple choice REVIEW QUESTIONS: Inference for mean difference.

portable document (.pdf) format
portable document (.pdf) format

Resampling Methods for Time Series
Resampling Methods for Time Series

A Bayesian Approach to Successive Comparisons
A Bayesian Approach to Successive Comparisons

... large k with respect to controlling the familywise error rate. Recognizing such limitations, we propose a Bayesian method of multiple testing for successive comparisons of ordered treatment effects. This Bayesian development incorporates ordering information using some suitable prior distribution for ...
Determining Probabilities Under the Normal Curve
Determining Probabilities Under the Normal Curve

Probability and Discrete Probability Distributions
Probability and Discrete Probability Distributions

MGT-150 -- Statistics I -- Course Outline
MGT-150 -- Statistics I -- Course Outline

... computer, if you can demonstrate that an error has been made. Non-Aplia assignments must be turned in during class on the day they are due. Assignments turned in after this time but before the assignment is handed back may receive one-half credit. Assignments turned in after the hand-back can no lon ...
Introduction To Power
Introduction To Power

... The probability of being correct on 12 or more trials is 0.63. Therefore, the power of the experiment is 0.63. To sum up, the probability of being correct on 12 or more trials given that the null hypothesis is true is less than 0.05. Therefore, if Mr. Bond is correct on 12 or more trials, the null ...
Theories - the Department of Psychology at Illinois State University
Theories - the Department of Psychology at Illinois State University

10.2a Comparing Two Means
10.2a Comparing Two Means

Introduction to T-tests
Introduction to T-tests

cowan_desy16
cowan_desy16

... the assumption of certain probabilities, about hypothetical repeated observations. A hypothesis is is preferred if the data are found in a region of high predicted probability (i.e., where an alternative hypothesis predicts lower probability). G. Cowan ...
PPT - Bioinformatics.ca
PPT - Bioinformatics.ca

course 602-651_2010
course 602-651_2010

STAT200 FINAL EXAM A
STAT200 FINAL EXAM A

CD posterior – combining prior and data through
CD posterior – combining prior and data through

... a confidence distribution on the same parameter derived from the data analysis; for more details, see Section 2. The outcome function from the combination, say Hc (θ), is a data dependent cumulative distribution function on the θ parameter space. We call such a function a CD-posterior function for th ...
Business Statistics: A Decision-Making
Business Statistics: A Decision-Making

S 2
S 2

Statistics / Sadistics - Youngstown State University
Statistics / Sadistics - Youngstown State University

Statistics Notes (6) - Home Page of Vance A. Hughey
Statistics Notes (6) - Home Page of Vance A. Hughey

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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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