'Tukey' presentation slideshows

A SUPPORTIVE NURSING CARE UNIT FOR REGISTERED NURSES

A SUPPORTIVE NURSING CARE UNIT FOR REGISTERED NURSES. Debra S. Hall, RN, PhD candidate University of Kentucky, College of Nursing Advisor: Julie Sebastian, PhD, RN, CS, FAAN. PURPOSE.

844 views • 55 slides

Data visualization and graphic design Part I: Principles of data visualization Part II: Advanced graphs with ggplot2

683 views • 51 slides

RESEARCH STATISTICS

Analysis of Variance. RESEARCH STATISTICS. Jobayer Hossain Larry Holmes, Jr, . November 20, 2008. Experimental Design Terminology. An Experimental Unit is the entity on which measurement or an observation is made. For example, subjects are experimental units in most clinical studies.

694 views • 43 slides

Statistics and ANOVA

Statistics and ANOVA. ME 470 Fall 2009. We will use statistics to make good design decisions!. We will categorize populations by the mean, standard deviation, and use control charts to determine if a process is in control.

646 views • 33 slides

Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation

Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation. Jeremy Tantrum, Department of Statistics, University of Washington joint work with Alejandro Murua & Werner Stuetzle Insightful Corporation University of Washington.

426 views • 31 slides

399 views • 20 slides

MARE 250 Dr. Jason Turner

Analysis of Variance (ANOVA). MARE 250 Dr. Jason Turner. ANOVA. Analysis of Variance (ANOVA) Method for comparing the means of more than two populations. ANOVA. Research Question: Are there differences in the mean number of total urchins across locations at Onekahakaha?. ANOVA.

211 views • 20 slides

Ham sandwich theorem by Changqing Li

390 views • 10 slides

The Bulging Rule: How to Straighten Out Relationships (Mosteller & Tukey, 1977)

The Bulging Rule: How to Straighten Out Relationships (Mosteller & Tukey, 1977). If you see this shape, use:. p >1 & q >1 . p < 1 & q > 1 . Transform x to x p &/or y to y q , where p & q are determined by the shape you see in the initial plot of y vs. x, for y>0 & x>0.

818 views • 2 slides