'Third variable' diaporamas de présentation

STAT 101 Exploratory Data Analysis I 1/25/12

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CORRELATION

CORRELATION. Overview of Correlation. What is a Correlation? Correlation Coefficients Coefficient of Determination Test for Significance Correlation and Causality Partial and Part Correlations. What is a Correlation?. Degree of linear relationship between variables

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CONFOUNDING

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CONFOUNDING

CONFOUNDING. DEFINITION: A third variable (not the exposure or outcome variable of interest) that distorts the observed relationship between the exposure and outcome. • Confounding is a confusion of effects that is a nuisance and should be controlled for if possible.

1.97k views • 33 slides

Interactions

Interactions. POL 242 Renan Levine March 13/15, 2007. Recap. Learned how to do bivariate analyses Cross-tabs, measures of association, correlations. Added variables. Learned to do multivariate regression analyses. Learned to interpret coefficients when controlling for all other variables.

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Discrete Event Simulation - 8

Discrete Event Simulation - 8. Design of Simulation Experiments. Discrete Event Simulation - 8. How do we design a simulation experiment? This is not very different from designing any other kind of experiment: 1) determine what variables you want to examine,

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PROGRAMME 7

PROGRAMME 7. DIFFERENTIATION. Programme 7: Differentiation. Standard derivatives Functions of a function Logarithmic differentiation Implicit functions Parametric equations. Programme 7: Differentiation. Standard derivatives Functions of a function Logarithmic differentiation

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Correlational Problems and Fallacies

Correlational Problems and Fallacies. James H. Steiger. Introduction. In this module, we discuss some common problems and fallacies regarding correlation coefficients and their interpretation Interpreting a correlation Correlation and causality Perfect correlation and equivalence

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EXPERIMENTS

EXPERIMENTS. Research Method Used to Test Causal Relationships Among Variables. Experiments. Why engage in experiments? . Causal vs. Correlational Relationships. Both causal and correlational relationships specify relationships among variables and concepts.

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Weighted and Unweighted MEANS ANOVA

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Section 4.4: Contingency Tables and Association

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9.1 Parametric Curves 9.2 Calculus with Parametric Curves

9.1 Parametric Curves 9.2 Calculus with Parametric Curves. We can do this by writing equations for the x and y coordinates in terms of a third variable (usually t or ). There are times when we need to describe motion (or a curve) that is not a function. These are called

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BHV 390 Cause and Effect Kimberly Porter Martin, Ph.D.

BHV 390 Cause and Effect Kimberly Porter Martin, Ph.D. Requirements for Cause and Effect. The causal variable and the effect variable must be consistently, but not necessarily always associated with one another. The causal variable must ALWAYS preceed the effect variable in time.

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Exponential Growth

Exponential Growth. By: Greta Garland, Erin Groves, Kali Clark. Per Capita Rate of Increase. Change in Population Size during Time interval. Births During Time Interval. Immigrants entering population during time interval. Emigrants leaving population during time interval. +.

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