Transcription of Crash Course on Basic Statistics - CBMM
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Crash Course on Basic StatisticsMarina Wahl, of New York at Stony BrookNovember 6, 20132 Contents1 Basic Basic Definitions .. Probability of Events .. Bayes Theorem ..62 Basic Types of Data .. Errors .. Reliability .. Validity .. Probability Distributions .. Population and Samples .. Bias .. Questions on Samples .. Central Tendency ..93 The Normal Distribution114 The Binomial Distribution135 Confidence Intervals156 Hypothesis Testing177 The t-Test198 Regression239 Logistic Regression2510 Other Topics2711 Some Related Questions2934 CONTENTSC hapter 1 Basic Basic DefinitionsTrials?Probability is concerned with the outcome also calledexperimentsorobserva-tions(multipl e trials).?Trialsrefers to an event whose outcome is Space (S)?Set ofall possible elementary outcomesofa the trial consists of flipping a coin twice, thesample space isS= (h,h),(h,t),(t,h),(t,t).?The probability of the sample space (E)?
Crash Course on Basic Statistics Marina Wahl, marina.w4hl@gmail.com University of New York at Stony Brook November 6, 2013
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Unit 9: Probability and Statistics, Probability, Introduction to Probability and Statistics, Probability and statistics, Of basic probability and statistics, Of basic probability and statistics Probability, Chapter 12: Probability and Statistics, Chapter 12 Probability and Statistics, And statistics, Statistics, Probability and Statistics Probability, Probability, Statistics, and Stochastic Processes, A statistical definition of probability