'Factor a' presentation slideshows

Hormone Example: nknw892.sas

Hormone Example: nknw892.sas. Y = change in growth rate after treatment Factor A = gender (male, female) Factor B = bone development level (severely depressed, moderately depressed, mildly depressed) n ij. Hormone Example: Input. data hormone;

568 views • 48 slides

Experimental design and statistical analyses of data

Experimental design and statistical analyses of data. Lesson 1: General linear models and design of experiments. Examples of G eneral L inear M odels (GLM). Slope. E x : Depth at which a white disc is no longer visible in a lake y = depth at disappearance

688 views • 42 slides

Topic 29: Three-Way ANOVA

Topic 29: Three-Way ANOVA. Outline. Three-way ANOVA Data Model Inference. Data for three-way ANOVA. Y, the response variable Factor A with levels i = 1 to a Factor B with levels j = 1 to b Factor C with levels k = 1 to c Y ijkl is the l th observation in cell ( i,j,k ),

555 views • 35 slides

Two-Way Analysis of Variance

STAT E-150 Statistical Methods. Two-Way Analysis of Variance.

301 views • 23 slides

The Essentials of 2-Level Design of Experiments Part I: The Essentials of Full Factorial Designs

The Essentials of 2-Level Design of Experiments Part I: The Essentials of Full Factorial Designs. Developed by Don Edwards, John Grego and James Lynch Center for Reliability and Quality Sciences Department of Statistics University of South Carolina 803-777-7800.

437 views • 18 slides

15-251

15-251. Great Theoretical Ideas in Computer Science. Rules of the Game. Each person will have a unique number. For each question, I will first give the class time to work out an answer. Then, I will call three different people at random.

291 views • 15 slides

Two- Factor ANOVA K ij =1 (11.1)

Two- Factor ANOVA K ij =1 (11.1). Two Factors of Interest (A) and (B) I = number of levels of factor A J = number of levels of factor B K ij = number of observations made on treatment (i,j). Example.

281 views • 12 slides

ANOVA Two Factor Models

ANOVA Two Factor Models. 2 Factor Experiments. Two factors can either independently or together interact to affect the average response levels. Factor A -- a levels Factor B -- b levels Thus total # treatments (combinations) = ab # replications for each A/B treatment -- r

274 views • 12 slides

Introduction to Experimental and Observational Study Design

395 views • 8 slides

Fractional Factorial Designs

402 views • 6 slides