'Scatterplot' diaporamas de présentation

Introduction to Applied Statistics

Introduction to Applied Statistics. Xiaobo Sheng. Overview. CH 1 Introduction CH 2-3 Concepts, Descriptive Statistics of one variable CH 6-8 Probability, A few common probability distributions and models CH 9-13 Statistical Inference CH 15 Linear Regression.

3.11k views • 146 slides

Data Collection and Analysis in Sociolinguistics

Enrico Giai BA in Translating and Interpreting MA Student in Translation Studies Turin University Email: enrico.giai@gmail.com. Data Collection and Analysis in Sociolinguistics. Practical elements for research methods in sociolinguistics. Turin , 07-08 April 2014.

868 views • 60 slides

Scatterplots, Association, and Correlation

Scatterplots, Association, and Correlation. Chapter 7. Looking at Scatterplots. Scatterplots may be the most common and most effective display for data. In a scatterplot, you can see patterns, trends, relationships, and even the occasional extraordinary value sitting apart from the others.

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509 views • 38 slides

Infographics

Infographics. Overview on What is important Traditional graphs Charts for specific usages Common misleading factors Read also the two books. 1. What is represented? Is something misleading? Is something useless? Is something missing? Can other information be added ?.

597 views • 38 slides

Verification Introduction Holly C. Hartmann

Verification Introduction Holly C. Hartmann Department of Hydrology and Water Resources University of Arizona hollyoregon@juno.com. RFC Verification Workshop, 08/14/2007. Goals. General concepts of verification Think about how to apply to your operations

543 views • 37 slides

Chapter 2 Examining Relationships

Chapter 2 Examining Relationships . Response variable measures outcome of a study (dependent variable) Explanatory variable explains or influences changes in response variable (independent) Practice: pg 81 #2.1, 2.2. 2.1 Scatterplots. Scatterplot.

456 views • 31 slides

Overview

Overview. 4.2 Introduction to Correlation 4.3 Introduction to Regression. Scatterplots. Used to summarize the relationship between two quantitative variables that have been measured on the same element Graph of points (x, y) each of which represents one observation from the data set

379 views • 29 slides

Weather Patterns

Weather Patterns. Michael Levin & Andy Suh. About Weather Predictions. For years, people have been trying to predict weather patterns and to predict oncoming weathers; even the Babylon, Greeks, and the Renaissance people have tried.

565 views • 22 slides

Enhancing Critical Thinking Skills

Enhancing Critical Thinking Skills. 2012 HBCU Library Alliance Leadership Institute Presented By: Violene Williams, MLIS Reference Librarian James Herbert White Library viwill@mvsu.edu. Mississippi Valley State University . Abstract summary Introduction Project Goals Structure

357 views • 20 slides

June 2012 Update June 14, 2012 Andrew J. Buckler, MS Principal Investigator, QI-Bench

June 2012 Update June 14, 2012 Andrew J. Buckler, MS Principal Investigator, QI-Bench. With Funding Support provided by National Institute of Standards and Technology. Agenda for Today. Progress on folder organization, naming conventions, and ISA roll-ups (Gary)

386 views • 20 slides

Part II: ? Two - Variable Statistics

Part II: ? Two - Variable Statistics S tatistical studies often involve more than one ?variable. We are interested in knowing if there is a ?relationship between the two characteristics for the same ?subject. Example:??A person's age and the time spent using a mobile phone.

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545 views • 18 slides

Forecasting Models With Linear Trend

Forecasting Models With Linear Trend. Linear Trend Model. y-intercept. Random Error at Period t. Slope. Value of the time series at Period t. If a modeled is hypothesized that has only linear trend and random effects, it will be of the form:

541 views • 17 slides

CORRELATION COEFFICIENTS

CORRELATION COEFFICIENTS. What Does a Correlation Coefficient Indicate? What is a Scatterplot ? Correlation Coefficients What Could a Low r mean? What is the Coefficient of Determination ? How Do We Test r for Significance?. What Does a Correlation Coefficient Indicate?.

814 views • 16 slides

Wii Project

303 views • 14 slides

Math 1040 Group 8 Project

285 views • 14 slides

Model calibration and validation

Model calibration and validation. Alberto Montanari University of Bologna. Why hydrological models need to be calibrated?. Parameters:

446 views • 12 slides

222 views • 11 slides

Slycat Ensemble Analysis

111 views • 1 slides