PPT-Cause, Correlation and Coincidence

Discuss the factors that led to the decrease in crime in New York in the 1990s click image to watch video Steven Levitts answer click image to watch video Dr Bernard Geschs. Garc aTalavera a JP Laedermann MDe combaz MJ Daza B Quintana Grupo de F sica Nuclear Universidad de Salamanca 37008 Salamanca Spain Institut de Radiophysique Applique e Lausanne Switzerland Received 10 February 2000 received in revised form 1 June Chapter 10. Outline . Section 10-1 Introduction. Section 10-2 Scatter Plots. Section 10-3 Correlation. Section 10-4 Regression. Section 10-5 Coefficient of Determination and Standard Error of the Estimate. August 26-29th. Special Announcements: . Check out my website at http://mrsdavislibertyelem.weebly.com. Spelling Words . t. his, went, jump, still, last, dust, tell, drop, shut. ,. lamp, stop. ,. felt, drink. An Application. Dr. Jerrell T. Stracener, . SAE Fellow. Leadership in Engineering. EMIS 7370/5370 STAT 5340 :. . . PROBABILITY AND STATISTICS FOR SCIENTISTS AND ENGINEERS. Systems Engineering Program. Coincidence loss of 0.2micron particles. Particle Conc.. Coincidence. Particles Displayed . (pcs./cc). loss (%). (pcs./cc). 100. 0.4897. 100 . 200. 0.9769. 198 . 290. 1.4134. 286 . 500. 2.4245. 488 . They replace the value of an image pixel with a combination of its neighbors. Basic operations in images. Shift Invariant. Linear. Thanks to David Jacobs for the use of some slides. Consider 1D images. Linear Function. Y = a + bX. Fixed and Random Variables. A FIXED variable is one for which you have every possible value of interest in your sample.. Example: Subject sex, female or male.. A RANDOM variable is one where the sample values are randomly obtained from the population of values.. Once you know the correlation coefficient for your sample, you might want to determine whether this correlation occurred by chance.. Or does the relationship you found in your sample really exist in the population or were your results a fluke?. Objective. : To look for relationships between two quantitative variables. Scatterplots. Scatterplots. . may be the most common and most effective display for data. . In a scatterplot, you can see patterns, trends, relationships, and even the occasional extraordinary value sitting apart from the others.. Prepared by T.O. . Antwi. -Asare . 2/2/2017. 1. Correlation and Regression . Correlation. Scatter Diagram,. Karl Pearson Coefficient of Correlation. Rank Correlation. Limits for Correlation Coefficient. Group 3. OUTLINE. Questions to be addressed. New Jersey Lottery. The Law of Very Large Number. Multiple end points. Close but not exact. Conclusion. Take home message. Questions to be addressed. What is the major problem?. Cross Correlation. A simple, yet powerful technique for detecting known patterns. Example applications include. Detecting preamble sequence in . WiFi. packets. Detecting cell tower ID based on known sequences. Summary of the measure of the characteristics of individuals in groups.. A descriptive statistic talks about a single characteristics within a given group. Lots of descriptive statistics are summarizing lots of characteristics but all within a given group.. D.Braga. , . M.Prydderch. (STFC RAL). G.Hall. , . M.Pesaresi. , . M.Raymond. (IC). WIT2012 Workshop on Intelligent Trackers, Pisa 04 May 2012. 2. Outline. Module and data readout for Phase-II upgrade of CMS Outer Tracker.