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h - TWiki
h - TWiki

Probability and Statistics Midterm Exam:
Probability and Statistics Midterm Exam:

... (based on Auntie Annie pretzel survey). 10 children come to sit on Santa’s lap. He asks them if they have been good or bad. a) Can this be considered a binomial experiment? Why or why not? b) What is the probability that all children say they were good? c) What is the probability that at least one c ...
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... In this laboratory I want you to learn how to use Minitab for simple statistical analyses. The interface is (in my view!) very simple, especially for anyone familiar with Microsoft products, for example Excel. We will begin with the design and analysis of simple comparative studies, using the data f ...
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... two-tailed test. The 0.05 significance level is divided equally into two tails of the standard normal distribution. Hence, the area in the left tail is 0.0250 and the area in the right tail is 0.0250. Step 3: Identify the test statistic. Because both samples are large (greater than 30) the z distrib ...
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... Research spans a mix of theoretical and applied work. Most mathematical/theoretical work was motivated by real life applied questions from primarily the biological sciences (broadly defined); this includes scientific collaboration with substantive field researchers. The emphasis has changed over the ...
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...  Be able to define the null and alternative hypothesis for testing the probabilities in a multinomial experiment…you will either test whether observed results fit some theoretical probability model or whether two variables are independent.  Be able to compute the expected values.  Be able to calc ...
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... A batch of invoices being audited has 5% of the invoices in error. A sample of 10 invoices is taken at random from the batch. What is the probability that the sample will contain i. ...
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Chapter 10: Testing Claims Regarding a Parameter

... believe that percentage is higher for ECC students for the 2008 presidential election. To determine if our suspicions are correct, we collect information from a random sample of 500 ECC students. Of those, 460 were citizens and 18 or older in time for the election. (We have some students still in hi ...
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ST-L1 Intro to Statistics

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... models and letting the data speak for themselves, a nonparametric approach has no additional information to leverage beyond the data themselves; if we have only ten sample values, it will not be possible to predict the 99th percentile with a nonparametric approach. ...
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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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