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Paper-101 : Probability Theory
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... drug intended to help address this problem, Pfizer stock rose 66% from January to October 1997. Pfizer introduced Viagra in 1998, and in the first month, 598,000 prescriptions were written. At the end of 1998, nearly 6 million prescriptions had been written, worth $441 million in sales. During 1998, ...
critical region
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... that we are right because we are either right or wrong and we don’t know which. But there is such a small probability that t will land in the critical region if Ho is true that if it does get there, we choose to believe that Ho is not true. If we had chosen α = .01, the critical value of t would be ...
Introduction to Statistics
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... • Understand the statistics portions of most articles in medical journals. • Avoid being bamboozled by statistical nonsense. • Do simple statistics calculations yourself. • Use a simple statistics computer program to analyze data. • Be able to refer to a more advanced statistics text or communicate ...
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... (c) To find the probability that the household has at least one of the two types of phones, we need to find the probability that the household has a landline, a cell phone, or both. P(L  C) = P(L) + P(C) – P(L  C) = 0.60 + 0.89 – 0.51 = 0.98 There is a 0.98 probability that the household has at le ...
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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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