'Total variability' diaporamas de présentation

Basic Analysis of Variance and the General Linear Model

Basic Analysis of Variance and the General Linear Model. Psy 420 Andrew Ainsworth. Why is it called analysis of variance anyway?. If we are interested in group mean differences, why are we looking at variance? t-test only one place to look for variability More groups, more places to look

494 views • 40 slides

Basic Analysis of Variance and the General Linear Model

Basic Analysis of Variance and the General Linear Model. Psy 420 Andrew Ainsworth. Why is it called analysis of variance anyway?. If we are interested in group mean differences, why are we looking at variance? t-test only one place to look for variability More groups, more places to look

496 views • 40 slides

Analysis of Variance for Some Fixed-, Random-, and Mixed-Effects Models

Analysis of Variance for Some Fixed-, Random-, and Mixed-Effects Models. Chapter 17. Definition 17.1.

990 views • 36 slides

CHAPTER 6 Statistical Inference & Hypothesis Testing

CHAPTER 6 Statistical Inference & Hypothesis Testing . 6.1 - One Sample Mean ? , Variance ? 2 , Proportion ? 6.2 - Two Samples Means, Variances, Proportions ? 1 vs. ? 2 ? 1 2 vs. ? 2 2 ? 1 vs. ? 2 6.3 - Multiple Samples Means, Variances, Proportions

510 views • 29 slides

HUMAN VARIATION

HUMAN VARIATION. How do we measure and classify human variation in order to study it?. TWO TYPES OF TRAITS. Discrete or discontinuous traits: traits occur in distinct Categories: Trait is there or it is not (examples: albinism,

885 views • 28 slides

Regression

388 views • 26 slides

2 factor ANOVA

456 views • 25 slides

TESTING THE STRENGTH OF THE MULTIPLE REGRESSION MODEL

356 views • 25 slides

Research Methods in Psychology

Research Methods in Psychology. Data Analysis and Interpretation. Null Hypothesis Significance Testing (NHST).

487 views • 22 slides

Process Capability Studies

549 views • 19 slides

Experimental Design

Experimental Design. If a process is in statistical control but has poor capability it will often be necessary to reduce variability. Experimental design often offers a more effective way to accomplish this than control charting.

271 views • 12 slides