Finish Our Review of Intermediate Micro and Hit Some High Points of Empirical Policy Analysis Outline Finish Review of Intermediate Micro Chapter 2: elasticity, the supply curve, market demand and supply, equilibrium, and welfare (consumer and producer surplus). Empirical Policy Analysis

ByReview. A quick review of each chapter. Chapter 1. One-Variable Statistics. How old is our teacher?. N=82. Describe the distribution. CUSS: C enter(mean and median), U nusual features(are there outliers?), S hape(skewed left,symmetric , skewed right), S pread(max to min).

ByTime Series 2 Time Series 1. TS2=5*cos(2*t) TS1=cos(2*t). R 2 = 1 Perfectly correlated. Time Series 2 Time Series 1. *. R 2 = 0 No LINEAR correlation. TS2=5*cos(2*t) TS1=cos(t). Time Series 1 Time Series 2. TS1=sin(t) TS2=cos(t). R 2 = 0 No correlation. Time Series 2

ByGround Motion Intensity Measures for Performance-Based Earthquake Engineering. Hemangi Pandit Joel Conte Jon Stewart John Wallace. Earthquake Database Seismological Variables Ground Motion Parameters. MDOF Nonlinear Finite Element Model. SDOF Structural Model

ByChapter 2. Research in Abnormal Psychology. Research in Abnormal Psychology. Clinical researchers face certain challenges that make their investigations particularly difficult: Measuring unconscious motives Assessing private thoughts Monitoring mood changes

ByBasic bluff-body aerodynamics II. Wind loading and structural response Lecture 9 Dr. J.D. Holmes. -0.20. -0.10. -0.20. x. x. x. leeward wall. roof. -0 . 23. -0.18. -0.23. x. x. x. -0.20. -0.20. x. x. -0.2. side wall. -0.5. -0.5. Sym.about C L. -0.7. -0.8. -0.8.

ByCovariance and Correlation. Questions: What does it mean to say that two variables are associated with one another? How can we mathematically formalize the concept of association? . Limitation of covariance.

ByCorrelation and Covariance. James H. Steiger. Goals for Today. Introduce the statistical concepts of Covariance Correlation Investigate invariance properties Develop computational formulas. Covariance.

ByAutocorrelation, Box Jenkins or ARIMA Forecasting. Autocorrelation and the Durbin-Watson Test.

ByCorrelation. Causation, Coincidence And C ommon Cause. Correlation. When two sets of data are seemingly linked together we say they have a Correlation . In a positive correlation the data is directly related. Height and Weight have a Positive Correlation. Negative Correlation.

ByEnvironmental Data Analysis with MatLab. Lecture 18: Cross-correlation. SYLLABUS.

ByUnit 2: Research Methods. Module 4: The Need for Psychological Science Module 5: The Scientific Method and Description Module 6: Correlation and Experimentation Module 7: Statistical Reasoning in Everyday Life Module 8: FAQ’s about Psychology. Did We Know It All Along?. Hindsight Bias:

ByWarsaw Summer School 2019, OSU S tudy A broad P rogram. Correlation. Linear Relationship. Linear Relationship. The line = a mathematical function that can be expressed through the formula Y = a + bX, where Y & X are our variables.

Bybivariate EDA and regression analysis. width. length. weight of core. distance from quarry. “scatterplot matrix”. scatterplots. scatterplots provide the most detailed summary of a bivariate relationship , but they are not concise , and there are limits to what else you can do with them…

ByRespiratory function in people with Huntington’s disease. Una Jones PhD Student. A NISCHR CRC adopted study. Huntington’s disease. Motor deficits. Cognitive problems. Behavioural problems. http://www.kumc.edu/hospital/huntingtons/gene.gif.

BySTAR's Measurement of Long-range Forward-backward Multiplicity Correlations as the Signature of “Dense Partonic Matter” in Heavy Ion Collisions at. Brijesh K Srivastava Purdue University. INTRODUCTION Correlations have always been expected to reflect the features of

ByRandom shapes in brain mapping and astrophysics using an idea from geostatistics. Keith Worsley, McGill Jonathan Taylor , Stanford and Universit é de Montr é al Arnaud Charil, Montreal Neurological Institute. CfA red shift survey, FWHM=13.3. 100. 80. 60. "Meat ball". 40.

ByLecture 6. Learning (III): Associative Learning and Principal Component Analysis. Outline. Associative Learning: Hebbian Learning Use Associative Learning to compute Principal Component. Associative (Hebbian) Learning.

ByHow to Lie with Statistics. Chapters 8-10: Daniel Huff. Chapter 8: Post-Hoc Rides Again. If B follows A, then A has caused B Perhaps neither of these things has produced the other, but both are a product of some third factor

ByDifferences-in-Differences and A Brief Introduction to Panel Data. John Snow again…. The Grand Experiment. Water supplied to households by competing private companies Sometimes different companies supplied households in same street In south London two main companies:

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