'Individual data points' presentation slideshows

Problem Solving and Quantitative Skills in AP Biology

Problem Solving and Quantitative Skills in AP Biology. Use this document as a resource to help guide you . . Up until now, there is strong possibility that you have you used the word hypothesis in only one way. Now we have a null hypothesis that we either reject or fail to reject

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R Workshop: Day 3

R Workshop: Day 3. Yun Ju Sung 7/15/2014. 5 . Regression A nalysis. Regression analysis is fundamental and forms a major part of statistical analysis!. L inear regression analysis. T he regression model : y = ? 0 + ? 1 x + ?

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Relationships Regression

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? 2 and Goodness of Fit

? 2 and Goodness of Fit. Louis Lyons Oxford. SLUO Lecture 3, February 2007. Least squares best fit Resume of straight line Correlated errors Errors in x and in y Goodness of fit with ? 2 Errors of first and second kind Kinematic fitting

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Correlation

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Introduction to SPC

Introduction to SPC. Review of normal (Gaussian) distributions. (VERY IMPORTANT for SPC) For a certain population of people, the average male height is 68 inches, with a standard deviation of 3 inches.

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Inferential statistics

Inferential statistics. Hypothesis testing. Questions statistics can help us answer. Is the mean score (or variance ) for a given population different from the one predicted? Are two populations different on some characteristic?

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Michael Bruneforth, UNESCO Institute for Statistics Expert Group on SDMX m.bruneforth@uis.unesco.org May 10, 2007, UN, G

Building SDMX Data Structure Definitions based on a generic conceptual model for contents Experience with the joint Eurostat-Unesco-OECD education statistics questionnaire. Michael Bruneforth, UNESCO Institute for Statistics Expert Group on SDMX m.bruneforth@uis.unesco.org

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Michael Bruneforth, UNESCO Institute for Statistics Expert Group on SDMX m.bruneforth@uis.unesco.org May 10, 2007, UN, G

Building SDMX Data Structure Definitions based on a generic conceptual model for contents Experience with the joint Eurostat-Unesco-OECD education statistics questionnaire. Michael Bruneforth, UNESCO Institute for Statistics Expert Group on SDMX m.bruneforth@uis.unesco.org

368 views • 25 slides

Eric Rasmusen, erasmuse@indiana.edu 7 November 2006 Graphs and Tables

Eric Rasmusen, erasmuse@indiana.edu 7 November 2006 Graphs and Tables. Principles of Graphs . 1. Keep the data-to-ink ratio high. 2. Erase data-ink for useless data. 3. Erase non-data ink. 4. Don't use Moire patterns. 5. Don't use boxes and grids.

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Analysis of surveys

Analysis of surveys. Effect of measurement error Shape of distribution as population gets more malnourished. Possibility of development of new methods Age/ height profile during famine The problem of oedema Implications for relief programs. Effect of measurement errors on survey results.

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BIRCH: Is I t Good for Databases?

BIRCH: Is I t Good for Databases?. A review of BIRCH: An And Efficient Data Clustering Method for Very Large Databases by Tian Zhang, Raghu Ramakrishnan and Miron Livny Daniel Chang ICS624 Spring 2011 Lipyeow Lim University of Hawaii at Manoa. Clustering in general.

464 views • 23 slides

BIRCH: Is I t Good for Databases?

BIRCH: Is I t Good for Databases?. A review of BIRCH: An And Efficient Data Clustering Method for Very Large Databases by Tian Zhang, Raghu Ramakrishnan and Miron Livny Daniel Chang ICS624 Spring 2011 Lipyeow Lim University of Hawaii at Manoa. Clustering in general.

394 views • 23 slides

Bayesian Hierarchical Clustering

Bayesian Hierarchical Clustering. Paper by K. Heller and Z. Ghahramani ICML 2005 Presented by David Williams Paper Discussion Group (10.07.05). Outline. Traditional Hierarchical Clustering Bayesian Hierarchical Clustering Algorithm Results Potential Application. Hierarchical Clustering.

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Analyzing data

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Using Qualitative Software in Policy Research

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Warm-up Question

Warm-up Question. What do you already know about the scientific method?. Scientific Method and Experimental Design. September 6 2011, Western Sierra. Daily Objectives. Define independent, dependent, and controlled variables, and identify them within a question or hypothesis. Part 2:

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Quantitative and Psychometric Methods PSY 302

Quantitative and Psychometric Methods PSY 302. William P. Wattles, Ph.D. Spring 2014. My goal. For you to leave this class with life changing skills and knowledge. . Successful students. Science Begins with Counting. . Peter Medawar.

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