Lecture16 - GEM2900: Understanding Uncertainty &...

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Unformatted text preview: GEM2900: Understanding Uncertainty & Statistical Thinking DSAP, NUS, Semester 1, 2008/2009 – 1 GEM2900: Understanding Uncertainty & Statistical Thinking Berwin Turlach statba@nus.edu.sg Department of Statistics and Applied Probability National University of Singapore Towards looking at real data GEM2900: Understanding Uncertainty & Statistical Thinking DSAP, NUS, Semester 1, 2008/2009 – 125 squaresolid We observe data. squaresolid These data have been generated by some random process from a population (may be hypothetical). square E.g. 1: Political opinion poll seeks simple random sample from population of eligible voters. square E.g. 2: Scientist records time between successive nerve pulses under certain stimuli. Population hypothetical — results from an infinite number of individuals subjected to same stimuli. squaresolid Descriptive statistics are used to summarise the data numerically or graphically. Woolfson (2008, Chapters 9–12) Huff, D. (1954). How to lie with statistics , V. Gollancz. (There are several later reprints.) See work by Edward Tufte and others on how to produce good graphics. Statistical models GEM2900: Understanding Uncertainty & Statistical Thinking...
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This note was uploaded on 03/19/2012 for the course SCIENCE 2900 taught by Professor Forgot during the Spring '08 term at National University of Singapore.

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Lecture16 - GEM2900: Understanding Uncertainty &...

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