STAT10x9.1.05.Intro

STAT10x9.1.05.Intro - Welcome to STAT 101a-106a...

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Unformatted text preview: Welcome to STAT 101a-106a Introduction to Statistics Syllabus Overview On classes server under web page and syllabus. Updated periodically. About The Sections . . . About Me . . . Why Im here . . . Your Questions . . . Things to Do Today Fill out MINITAB intro forms and return today! Sign up on classes server for this class o Go to classes.yale.edu (no www. . . .) o Add Statistics 100-00 (an unusual number!) Things to Do for Tuesday Look more at course descriptions do decide which sections are of interest. On Tuesday, well ask for your first two choices. Thanks to Joe Chang in the Statistics Department for some content in lectures STAT 101-106 Introduction to Statistics 1 What is Statistics? 0. Like dreams, statistics are a form of wish fulfillment Jean Baudrillard More charitable view : 1. Statistics is the art of stating in precise terms that which one does not know. William Kruskal In other words : o Statistics is about quantifying VARIATION (De Veaux et all) Statistics helps us address hard questions . o Does Roundup really degrade into harmless substances after 10 days? ( ANOVA) o Is global warming happening in CT? ( regression) o What social factors are related to population growth? ( multiple regression) o Does the probability of a woman washing her hands in the Kmart bathroom change if she knows shes being watched? (Hypothesis Testing for Binomial) STAT 101-106 Introduction to Statistics 2 As you can see, we now have conclusive proof that smoking is one of the leading causes of statistics Statistics are also important in separating fact from fiction (despite what you might think . . .) Statistics turned medicine into a field that (by 1910) had a better probability of helping you than hurting you (no more leeches . . .) Example : the most dangerous jobs are . . . . What will we cover? Another Definition of Statistics : The science of collecting , organizing , and interpreting numerical facts, which we call data. (Moore and McCabe) I Organizing how to look at the data! o distributions, graphical displays (histograms, boxplots,...) o numerical summaries (mean, median, standard deviation,...), o Normal distributions o more than one variable: correlation, regression STAT 101-106 Introduction to Statistics 3 II Collecting (and producing) data : Sampling, bias, design of experiments, randomization Probability (need for Interpretation) Random variables , rules of probability, conditional probability, Bayes rule, binomial & Normal distributions, Central Limit Theorem III Interpreting data -- Statistical inference o Confidence intervals o Hypothesis testing o Advanced Techniques (mostly in sections) o Regression o ANOVA o Logistic Regression Statistical Inference (whats in the bag . . ?) Usual research situation: o We have a question about a population ....
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STAT10x9.1.05.Intro - Welcome to STAT 101a-106a...

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