PPT-Empirical Modeling R.V.

Guha Data Science Empirical Modeling Deep dives on some research topics Web scale structured data Teachable learning systems The case for a Data Commons Outline Models. Week 22 Chemistry. Warm Up: . 3. Minutes. A certain bag of M&M’s has 8 blue candies, 7 red candies, 4 green candies, and 6 yellow candies. What percentage of the bag is blue M&M’s? . Record your Learning . How can conjectural variation models help?. Alan Crawford and . Benoît. Durand. OFT Seminar. The questions. Can we use conjectural variation models to . measure empirically market power?. identify the source of market power? Can we use conjectural variation models to tell whether market power is the result of product differentiation or collusion? . You should know this for the quiz!. Empirical and Molecular Formulae. Empirical Formula. If needed, change % to g.. Do . a molar conversion to change from . g. mol. Divide each of these numbers by the smallest number. = based on data. . Usually % composition data. Why is it important to be able to calculate the empirical formula?. Penicillin . Antibiotic. Discovered about 80 years ago. Paved the way for other antibiotics to be created which increased life expectancy. Objectives. To learn how to work out the percentage composition by weight of a compound. To use percentage composition to work out empirical formulae. Percentage compositions. This means what percentage of each element is present in a compound, and therefore tells you what masses of each element are present in any given mass of a compound. . How can conjectural variation models help?. Alan Crawford and . Benoît. Durand. OFT Seminar. The questions. Can we use conjectural variation models to . measure empirically market power?. identify the source of market power? Can we use conjectural variation models to tell whether market power is the result of product differentiation or collusion? . and Scientific Thinking . Brendan Conway. Corrine Vicari. Kaitlyn Creel. Matt Graham . Empirical Thought . Empirical thinking depends on past habit.. Based on observation and experience.. Ex. A-“It will probably rain tomorrow”. Guha. . Data Science .  . Empirical . Modeling. Deep dives on some research topics. . Web scale structured data. . Teachable learning systems. The case for a `. Data Commons. ’. Outline. Models. Percent Composition. Percent . Composition – . the . percentage . by mass of . each . element in a . compound (*note: not the ratio of elements in the compound). Law of Definite Proportions . – compounds always contain the same proportions of elements by mass.. Due at end of Period. The compound . benzamide. has the following percent composition. What is the empirical formula? . C . = 69.40 % H= 5.825 % O = 13.21 % N= 11.57 % . 2. A . component of protein called serine has an approximate . INTRODUCTION TO NUMERICAL MODELING IN GEOTECHNICAL ENGINEERING WITH EMPHASIS ON FLAC MODELING www.zamiran.net By Siavash Zamiran, Ph.D., P.E. Geotechnical Engineer, Marino Engineering Associates, Inc. Percent Composition. ~percent by mass of atoms present in a compound. = (mass of atom). . (total molar mass) x 100. water is . 88.81 . % Oxygen and . 11.19 . % Hydrogen. O- 16.00/18.016 x 100 = . 88.81 . Daniel Friedman, R. . Mark . Isaac, . Duncan . James . , and Shyam Sunder. Fifth . LeeX. International Conference on . Theoretical and Experimental Macroeconomics . Barcelona GSE Summer Forum, . Universitat. Approach. Derive new empirical parameters to represent (1) the dynamic evolution of SOAs in smog chambers as a function of NO. x. -dependent multigenerational chemistry and (2) losses of gases and particles to walls.