GNU Scientific Library Reference Manual Edition 1.14, for GSL Version 1.14 4 March 2010 Mark Galassi Los Alamos National Laboratory Jim Davies Department of Computer Science, Georgia Institute of Technology James Theiler Astrophysics and Radiation Measurements Group, Los Alamos National Laboratory Brian Gough Network Theory Limited Gerard Jungman Theoretical Astrophysics Group, Los Alamos National Laboratory Patrick Alken Department of Physics, University of Colorado at Boulder
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measurement, count, discrete, interval, ratio, continuous. Be able to recognize examples of different kinds of variables and advantages/disadvantages of treating them in different ways. What is meant by a “derived” variable and different types of derived variables. Objectives of statistical hypothesis tests (“significance” tests), the meaning of the outcomes from such tests, and how to interpret a p-value. What is a confidence interval and how it can be interpreted.
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“WEB PORTAL FOR S.I.N.E. WATER DISTRICT WITH SMS” In Partial Fulfillment Of the Requirements in the Subject “IT CAPSTONE PROJECT” For the Degree of Bachelor of Science in Information Technology Submitted by: Cristopher Jay Castro Gellyn Victorio Milady Delos Santos CHAPTER I THE PROBLEM AND ITS SETTINGS Introduction Water is essential in human living. It gives us energy everyday to do our daily tasks. According to Science, human beings can survive up to two weeks or even a
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Probability Distributions ....................................................................................... 13 7. Sampling and Sampling Distributions ...................................................................................... 15 8. Interval Estimation .................................................................................................................... 17 9. Hypothesis Testing.............................................................................................
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with a 1 SD whisker extending from this bar. /* from http://www.units.muohio.edu/doc/sassystem/sasonlinedocv8/sasdoc/sashtml/gref/zart-bar.htm If you want the error bars to represent a given number C of standard errors instead of a confidence interval, and if the number of observations assigned to each
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Knowledge Discovery for Characterizing Team Success or Failure in (A)RTS Games Pu Yang⇤ and David L. Roberts† Department of Computer Science North Carolina State University, Raleigh, North Carolina 27695–8206 Email: ⇤ pyang3@ncsu.edu, † robertsd@csc.ncsu.edu Abstract—When doing post-competition analysis in team games, it can be hard to figure out if a team members’ character attribute development has been successful directly from game logs. Additionally, it can also be hard to figure out
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Statistics and Business Analytics, FALL 2014 ES-1, Grp 7: Koel BANERJEE, Sahil BIHARI, Rong TIAN, Jean-Baptiste VARNIER, Dmitry YATSENKO House Prices Analysis in the DFW Area Report prepared for M. Sam Horton HEC PARIS MBA PROGRAM FALL 2014 FINAL TEAM PROJECT 0 Statistics and Business Analytics, FALL 2014 ES-1, Grp 7: Koel BANERJEE, Sahil BIHARI, Rong TIAN, Jean-Baptiste VARNIER, Dmitry YATSENKO This report summarizes the statistical analysis performed in relation to the sale of
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Capturing Marketing Insights and Forecasting Demand Learning Objectives 1. What are the components of a modern marketing information system? 2. How can companies collect marketing intelligence? 3. What constitutes good marketing research? 4. How can companies accurately measure and forecast market demand? 5. What are some influential developments in the macroenvironment? Modern Marketing Information System (MIS) A marketing information system (MIS) consists of people
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units 4. Calculate the number of cycles you must observe by using sample data n=[(z/a)(s/x)]2 (n=# of observations, z= # of std dev at desired confidence, a=desired accuracy, s=std dev from sample, x=mean from sample) 5. Time each element, record times and rate worker performance 6. Compute Normal Time [NT= Mean Observed Time (MOT) * (PRF) * (F)] 7. Compute Standard Time (ST= NT * allowance factor) (AFtime worked = 1/1-PFD or AFjob=1*PFD) (Performance Rating Factor- factor of above or below 1,
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Andrew R. Cohen1, Christopher Bjornsson1, Ying Chen1, Gary Banker2, Ena Ladi3, Ellen Robey3, Sally Temple4, and Badrinath Roysam1 1 Rensselaer Polytechnic Institute, Troy, NY 12180, USA, 2 Oregon Health & Science University, 3181 SW Sam Jackson Park Road, L606, Portland, OR 97239, USA 3 University of California, Berkeley, Berkeley, CA 94720, USA 4 Center for Neuropharmacology & Neuroscience, Albany Medical College, Albany, NY 12208, USA ABSTRACT An algorithmic information theoretic method is presented
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