'Group variance' presentation slideshows

Inferential Statistics: Hypothesis Testing

1.17k views • 67 slides

Classification & Clustering

Classification & Clustering. Pieter Spronck http://www.cs.unimaas.nl/p.spronck. Binary Division of Marbles. Big vs. Small. Transparent vs. Opaque. Marble Attributes. Size (big vs. small) Transparency (transparent vs. opaque) Shininess (shiny vs. dull)

757 views • 60 slides

???? Computer and Robot Vision I

???? Computer and Robot Vision I. Chapter2: Binary Machine Vision: Thresholding and Segmentation Instructor: Shih- Shinh Huang. Contents. Introduction Thresholding Connected Components Labeling Signature Segmentation and Analysis. Computer and Robot Vision I. Introduction.

733 views • 54 slides

Chapter 8: MANOVA

1.3k views • 51 slides

Review of T-tests

491 views • 34 slides

CHAPTER 3 Analysis of Variance (ANOVA) PART 1

CHAPTER 3 Analysis of Variance (ANOVA) PART 1. Learning Objectives. Describe the relationship between analysis of variance, the design of experiments, and the types of applications to which the experiments are applied. Differentiate one-way and two-way ANOVA techniques.

289 views • 28 slides

Introduction to Policy Processes

Introduction to Policy Processes. Dan Laitsch. 1. Overview (Class meeting 5). Sign in Agenda PBL break out, final project polishing Centre Jobs Review last class Stats PBL planning (presentations) Policy Conclusions [Lunch] Action research Course review Evaluation PBL and dismiss.

451 views • 26 slides

t-test

t-test. Tests. Exercise.

604 views • 23 slides

MKT 317

433 views • 19 slides

MKT 317

196 views • 19 slides

Social Relations Model: Estimation Distinguishable Dyads

Social Relations Model: Estimation Distinguishable Dyads. David A. Kenny. Background. Social Relations Model Confirmatory Factor Analysis. Data Structure. Members of the groups are distinguishable. Each member has a different role. Prototypical example a family mother, father, & child

283 views • 18 slides

Statistics in SPSS Lecture 8

201 views • 17 slides

Steve Pepper 2013-09-28 LCR 2013

281 views • 15 slides

BHS 204-01 Methods in Behavioral Sciences I

149 views • 14 slides

Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). Why ANOVA?. In real life things do not typically result in two groups being compared Test lines on I-64 in Frankfort Two-sample t-tests are problematic Increasing the risk of a Type I error

299 views • 12 slides

Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). Why ANOVA?. In real life things do not typically result in two groups being compared Test lines on I-64 in Frankfort Two-sample t-tests are problematic Increasing the risk of a Type I error

226 views • 12 slides

Tuesday, November 12 Analysis of Variance

Tuesday, November 12 Analysis of Variance. Tuesday, November 12 The Analysis of Variance. Tuesday, November 12 The Analysis of Variance. ANOVA. Between-group variance estimate. F = . within-group variance estimate. _. SS T = ? (X - X) 2 SS B = ? N G (X G - X) 2

288 views • 11 slides

PSYC 221: Applied Statistics

PSYC 221: Applied Statistics. Analysis of Variance ANOVA. Basic Logic of the ANOVA. Estimating population variance Two ways to estimate Within group variance Between group variance. Hypothesis testing with ANOVA. If null hypothesis is true: Between group / Within group =1

240 views • 11 slides

BHS 204-01 Methods in Behavioral Sciences I

117 views • 11 slides

ANOVA

ANOVA. EDL 714, Fall 2010. Analysis of variance. ANOVA An omninbus procedure that performs the same task as running multiple t -tests between all groups in question. Tests the null hypothesis in comparing means of two or more treatments (or populations)

1.11k views • 7 slides