'Statisticians' diaporamas de présentation

Chapter 6

Chapter 6. Discrete Probability Distributions. Goals. Define the terms: Probability distribution Random variable Continuous probability distributions (Chapter 7) Discrete probability distributions (Chapter 6) For a discrete probability distribution, calculate: Mean

1.05k views • 60 slides

Statistical Methods for Data Analysis hypothesis testing

Statistical Methods for Data Analysis hypothesis testing. Luca Lista INFN Napoli. Contents. Hypothesis testing Neyman-Pearson lemma and likelihood ratio Multivariate analysis (elements) Chi-square fits and goodness-of-fit Confidence intervals Feldman-Cousins ordering. Hypothesis testing.

899 views • 52 slides

Probability

Probability. Introduction to Statistics Chapter 6 Sep 10-15, 2009 Classes #7-8. Inferential Statistics. By knowing the make-up of a population, we can determine the probability of obtaining specific samples In this way, probability gives us a connection between population and samples

698 views • 51 slides

Hidden Markov Models in Bioinformatics

1.42k views • 37 slides

Measuring Inflation

Measuring Inflation. Warning: May not be suitable for SL students. How to measure Inflation?.

331 views • 24 slides

Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis. Michael W. Mahoney Stanford University Sept 2011 (For more info, see: http://cs.stanford.edu/people/mmahoney). Motivating observation . Theory of NP-completeness is a very useful theory

323 views • 19 slides

Approximate computation and implicit regularization in large-scale data analysis

Approximate computation and implicit regularization in large-scale data analysis. Michael W. Mahoney Stanford University Sept 2011 (For more info, see: http://cs.stanford.edu/people/mmahoney). Motivating observation . Theory of NP-completeness is a very useful theory

349 views • 19 slides

Ernestina Coast Department of Social Policy, LSE Alexandra Fanghanel University of Bedfordshire

343 views • 19 slides

Data Mining Disasters

Data Mining Disasters. A Report Mary McGlohon SIGBOVIK Commission for Workplace Safety. Data Mining Safety. Data mining disasters are a hazard to the progress of scientific research. We will review some common mining disasters and make recommendations for prevention. Numeric Overflow.

285 views • 17 slides

Overview

Overview. Chi-square showed us how to determine whether two (nominal or ordinal) variables are statistically significantly related to each other. But statistical significance ? substantive significance. The p value does not measure strength of relationship!

284 views • 15 slides

AP United States Government and Politics College Comparability Study 2008

AP United States Government and Politics College Comparability Study 2008. A Presentation and Discussion at the 2008 AP Annual Conference Seattle, WA, July 19, 2008 Ed Wagner Educational Testing Service. Why do we do comparability studies?.

298 views • 11 slides

Happy Birthday!

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26 th European Meeting of Statisticians

26 th European Meeting of Statisticians. will be held in Torun, Poland, from July 24 th till 28 th , 2006. Poland. Nicolaus Copernicus University in Torun. TORUN. Nicolaus Copernicus born in Torun in 1473. 24 - 28 July 2006. www.ems2006.umk.pl.

179 views • 5 slides

2 Organizing data

2 Organizing data. 2 Organizing data. 2 Organizing data. 2 Organizing data. 2 Organizing data. Note statisticians consider data involving amounts of money to be metric.

331 views • 5 slides

Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office

Metadata Driven Statistical Data Warehouse System at the Hungarian Central Statistical Office. Imre Pap Senior IT Advisor Hungarian Central Statistical Office. META. THE DW STRUCTURE. DISSEMINATION db . Oracle EXPRESS multidimensional. Web browser. Meta Database. Subject Matters.

341 views • 4 slides