PPT-Data first vs Hypothesis first

Alan Ward Data first vs Hypothesis first Hypothesis driven approach Look at the data we have Formulate an hypothesis about Do experiments to test the hypothesis As a byproduct collect more data. . Testing. Martina Litschmannová. m. artina.litschmannova. @vsb.cz. K210. Terms Introduce in Prior Chapter. Population. . …. . all possible values. Sample. . …. a portion of the population. Scientific . Method and . Critical Thinking. Haifa . Abulaiha. hmabulaiha@mix.wvu.edu. August 17, 202015. 1. The Scientific Method. 2. Problem Solving. Problem solving. is the process of analyzing and finding solutions for questions that we want to solve.. Data Processing, Fundamental Data . Analysis, and the Statistical Testing of Hypotheses. Understand the importance and nature of quality control checks. Describe the process of coding. Understand the data entry process and data entry alternatives. Note:. In Chapter 8 we used methods of estimating the value of a parameter.. In this chapter, we are drawing inferences about the parameter by making decisions concerning the value of the parameter. Two Hypothesis:. STAT 250. Dr. Kari Lock Morgan. SECTION 4.1. Hypothesis test. . Null and alternative hypotheses. . Statistical significance. Tea and the Immune System. L-. theanine. is an amino acid found in tea. Model Building in Econometrics. Parameterizing the model. Nonparametric analysis. Semiparametric analysis. Parametric analysis. Sharpness of inferences follows from the strength of the assumptions. A Model Relating (Log)Wage . The Hypothetico-Deductive Model of Scientific Research. 11. Prediction. 10. Theory (Consists of confirmed hypotheses). 9. Confirmed?. 6. Test Hypothesis. 5. Data Analysis. 4. Systematic Observation . Ho - this hypothesis holds that if the data deviate from the norm in any way, that deviation is due strictly to chance.. Alternative hypothesis. Ha - the data show something important.. Doing decision = accept/reject Ho (the decision centers around null hypothesis). b. elieve it (or not). Our belief decision must ultimately stand on three legs:. What does our general background knowledge and experience tell us (for example, what is the reputation of the speaker)?. Inferential statistics. :. Based on laws of probability. Used to estimate population parameters from sample statistics . When different researchers apply inferential statistics to the same data resulting conclusions likely to be the same. Chong Ho Yu (Alex). Ford's Model T in Statistics. Most statistical procedures that we still use today were invented in the late 19. th. century or early 20. th. century.. The t-test was introduced by William Gosset in 1908.. Hypothesis Testing. A statement has been made. We must decide whether to . b. elieve it (or not). Our belief decision must ultimately stand on three legs:. What does our general background knowledge and experience tell us (for example, what is the reputation of the speaker)?. Sample. , shape, location, and spread. Sample = make sure it's random, handle missing data (mcar, mar, nmar), imputation . methods. NMAR!. . Shape = Is the data skewed, normal, or flat? If normal then we can use statistical analysis for normal . m. artina.litschmannova. @vsb.cz. EA 538. Terms Introduce in Prior Chapter. Population. . …. . all possible values. Sample. . …. a portion of the population. . Statistical inference . …. .