PPT-True Experiments:

Multifactorial Designs Also called Multifactorial Designs Two or more independent variables that are qualitatively different Each has two or more levels Can be within or betweensubjects Can be manipulated or measured IVs. Prove that any positive integer n 1 is either a prime or can be represented as product of primes factors 2 Set contains all positive integers from 1 to 2 Prove that among any 1 numbers chosen from there are two numbers such that one is a factor of The tradeoff between internal and external validity. Natural sciences. In natural sciences, most experiments have been undertaken in carefully controlled laboratory conditions. Seeking laws of physics, etc.. Experimentation . Experiments and Torture. Some of the information is taken from Nazi Human Experimentation. Human Experimentation . Experiments on twins. Bone, muscle, limb and nerve transplant . Freezing experiments. Listening . to the Customers, not to the . HiPPO. Ronny Kohavi, . General Manager. Experimentation Platform, Microsoft. ronnyk@microsoft.com. . The Analytics . Revolution, Apr 2010. , . SDForum. 2. Amazon . Research Objective. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. . True Experiments. Characteristics. Threats to validity controlled by experiments. Threats not controlled by experiments. Obstacles to true experiments in the field. . Quasi-experiments. The logic of quasi-experiments . (True;fa;b;cg)(False;fa;b;cg)(False;fa;bg)(True;fa;bg)(False;fa;cg)(True;fb;cg)(True;fa;cg)(True;;)(False;;)(False;fb;cg)(True;fbg)(True;fcg)(False;fcg)(False;fbg)(False;fag)(True;fag)ModelFormulasBas Ronny Kohavi, . GM, Experimentation Platform, Microsoft. Slides available at . http://exp-platform.com. Part 1. 2. Amazon . Shopping Cart . Recs. Add an item to your shopping cart at a website. Most sites show the cart. Show direct cause & effect. Study relationships among variables for existing groups. Explain outcomes after the fact. Type of Design. True Experiment. Quasi-Experiment. Cross-Sectional. Longitudinal. By. Ajinkya. . Thorve. Introduction. Advancement of tracking technologies has lead to increased data collection.. Collected data used, sold and resold for serving targeted advertisements.. Serious privacy concern!. Design and Analysis. STA 320. Design and Analysis of Causal Studies. Dr. Kari Lock Morgan and Dr. Fan Li. Department of Statistical Science. Duke University. Covariates. Pre-treatment variables. X: n x k covariate matrix. 8 The experiment should be conducted only by scientifically qualified persons The highest degree of skill and care should be required through all stages of the experiment of those who conduct or engag John Hey. The first in a. . course of lectures given at the University of Economics, . Ho. Chi Minh City . Lecture . 1, 20. th. July . 2022. John Hey. Who am I?. I am . John Hey. I am at the University of York and have been there for some 48 years. I am now Emeritus Professor of Economics and Statistics.. Quantitative Engineering Approaches. What do we know?. How do we design experiments and scale ?. Implications. Nothing except parameters we can vary. Statistical Experimental Design . Lots of experiments at all scales.