'Group variation' presentation slideshows

Chapter 4

Chapter 4. analysis of variance (ANOVA). Section 1 the basic idea and condition of application. Objective : deduce and compare several (or two ) population means . Method : analysis of Variance (ANOVA), ie F test for comparing several sample means .

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Chapter 4 Analysis of Variance

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More than two groups: ANOVA and Chi-square

More than two groups: ANOVA and Chi-square. S1 a , n =28. S2 b , n =25. S3 c , n =21. P -value d. Calcium (mg). Mean. 117.8. 158.7. 206.5. 0.000. SD e. 62.4. 70.5. 86.2. Iron (mg). Mean. 2.0. 2.0. 2.0. 0.854. SD. 0.6. 0.6. 0.6. Folate (?g). Mean. 26.6. 38.7. 42.6.

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PUAF 610 TA

PUAF 610 TA. Session 8. Recover from midterm. TODAY. F - Distribution Analysis-of-variance Kruskal-Wallis test Correlation. F - Distribution. An F -distribution has two numbers of degrees of freedom : Degrees of Freedom for the Numerator (dfn)

593 views • 43 slides

John Merck Fund Summer Institute on the Biology of Developmental Disabilities Genetics Workshop

John Merck Fund Summer Institute on the Biology of Developmental Disabilities Genetics Workshop John Fossella, PhD Sackler Institute. Tool #1: Genome Sequence Databases. The Human Genome Project. TIGR: 1 microbe per day: Sargasso Sea. Tool #2: Human Genome Variation Databases.

539 views • 41 slides

What can we do? moving debates about genetic determinism in new directions peter.taylor@umb

What can we do? moving debates about genetic determinism in new directions peter.taylor@umb.edu Science, Technology & Values UMass Boston. Ask: What can we do?. (in light of what scientists are claiming about genetics and environment in the development of individual lives).

405 views • 40 slides

Chapter 11

Analysis of Variance (ANOVA). Chapter 11. Learning Objectives. In this chapter, you learn: The basic concepts of experimental design How to use one-way analysis of variance to test for differences among the means of several groups

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Bios 101 Lecture 8: Analysis of Variance (ANOVA) of Variance Shankar Viswanathan, DrPH

Bios 101 Lecture 8: Analysis of Variance (ANOVA) of Variance Shankar Viswanathan, DrPH Division of Biostatistics, DEPH December 20, 2011. Analysis of Variance (ANOVA) is a technique for assessing how several nominal/ categorical independent variables affect a continuous dependent variable.

570 views • 28 slides

Rethinking the difference between two sample means: An example

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Rethinking the difference between two sample means: An example

256 views • 25 slides

Comparing Many Means

291 views • 16 slides