'Variance estimate' presentation slideshows

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Statistical Inference, Multiple Comparisons and Random Field Theory

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Lecture 2: Replication and pseudoreplication

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General Linear Model 2

General Linear Model 2. Intro to ANOVA. Questions. ANOVA makes assumptions about error for significance tests. What are the assumptions? What might happen (why would it be a problem) if the assumption of {normality, equality of error, independence of error} turned out to be false?

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Statistics for the Social Sciences

Statistics for the Social Sciences. Psychology 340 Spring 2009. Analysis of Variance (ANOVA). Outline. Basics of ANOVA Why Computations ANOVA in SPSS Post-hoc and planned comparisons Assumptions Power and effect size for ANOVA. Outline. Basics of ANOVA Why Computations

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MGS 3100 Business Analysis Regression Feb 18, 2014

MGS 3100 Business Analysis Regression Feb 18, 2014. Overview of the Regression. Agenda. Regression Statistics & ANOVA. Statistical Significance. What is the Regression Analysis?.

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Balanced Incomplete Block Design (BIBD)

Balanced Incomplete Block Design (BIBD). Notation a-number of treatments m-number of treatments/block r-number of treatment reps b-number of blocks N=ar=bm r(m-1)= l (a-1). BIBD. Example Block 1 2 3 4 A A A B B B C C C D D D Verify that l=2. BIBD.

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Chapter 10 The t Test for Two Independent Samples

Chapter 10 The t Test for Two Independent Samples. PSY295 Spring 2003 Summerfelt. Overview. Introduce the t test for two independent samples Discuss hypothesis testing procedure Vocabulary lesson New formulas Examples. Learning Objectives.

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Improved Variance Estimation for Fully Synthetic Datasets

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Statistics in WR: Lecture 7

Statistics in WR: Lecture 7. Key Themes Statistics for populations and samples Suspended sediment sampling Testing for differences in means and variances Reading: Helsel and Hirsch Chapter 8 Correlation. Question about n and n-1 in statistics.

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